HW2_Filippo_Nardi
Filippo Nardi
2023-12-11
Introduction
This work is highly correlated to my first homework in this course. I will once again use the World Value survey to asses the different social and life values based on the HDI index provided by the United Nations.
What I want to asses in this homework is if there is a correlation between some social tendencies (recorded by the World Value Survey through a questionnaire) and a low HDI index, for example is a negative consideration of democracy a predictor for a low HDI index?
First let’s import all the Libraries needed for this project
Libraries
library(randomForest)## randomForest 4.7-1.1## Type rfNews() to see new features/changes/bug fixes.library(shapper)
library(GGally)## Loading required package: ggplot2##
## Attaching package: 'ggplot2'## The following object is masked from 'package:randomForest':
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## margin## Registered S3 method overwritten by 'GGally':
## method from
## +.gg ggplot2library(ggplot2)
library(mice)##
## Attaching package: 'mice'## The following object is masked from 'package:stats':
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## filter## The following objects are masked from 'package:base':
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## cbind, rbindlibrary(VIM)## Loading required package: colorspace## Loading required package: grid## VIM is ready to use.## Suggestions and bug-reports can be submitted at: https://github.com/statistikat/VIM/issues##
## Attaching package: 'VIM'## The following object is masked from 'package:datasets':
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## sleeplibrary(caret)## Loading required package: latticelibrary(tidyr)
library(factoextra)## Welcome! Want to learn more? See two factoextra-related books at https://goo.gl/ve3WBalibrary(cluster)
library(mclust)## Package 'mclust' version 6.0.0
## Type 'citation("mclust")' for citing this R package in publications.##
## Attaching package: 'mclust'## The following object is masked from 'package:VIM':
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## diabeteslibrary(kernlab)##
## Attaching package: 'kernlab'## The following object is masked from 'package:mice':
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## convergence## The following object is masked from 'package:ggplot2':
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## alphalibrary(mice)Here I will load the data, W7R (Wave 7 Reduced) is an already filtered version of the EVS_WVS_joint2, I will use this is as it’s focused on readability (columns renamed) and social attitudes.
Data2 in non other than the dataset containing the Human Development Index (HDI) produced by the United Nations Development Programme, it has other columns that are not HDI but for this analysis it is the thing I value the most
data = load("W7R.rds")
data2 = read.csv("human-development-index-hdi-2014.csv", header = TRUE, stringsAsFactors = FALSE, fileEncoding = "UTF-8")## Warning in scan(file = file, what = what, sep = sep, quote = quote, dec = dec,
## : invalid input found on input connection
## 'human-development-index-hdi-2014.csv'Data Cleaning
Since both datasets have differents standard for the names of the countries this list is for unifying that.
rename_mapping <- c(
"Bolivia (Plurinational State of)" = "Bolivia",
"Bosnia and Herzegovina" = "Bosnia",
"Czech Republic" = "Czechia",
"Hong Kong, China (SAR)" = "HongKong-SAR",
"Iran (Islamic Republic of)" = "Iran",
"Korea (Republic of)" = "South-Korea",
"New Zealand" = "New-Zealand",
"Russian Federation" = "Russia",
"Viet Nam" = "Vietnam",
"The former Yugoslav Republic of Macedonia" = "North-Macedonia",
"United Kingdom" = "Great-Britain",
"United States" = "United-States"
)
data2$Location <- ifelse(data2$Location %in% names(rename_mapping), rename_mapping[data2$Location], data2$Location)This is part is for creating the column in HDI in W7R and then appending the correct HDI value from the United Nations dataset
W7R$HDI <- NA
for (i in 1:nrow(W7R)) {
country <- W7R$cntry_name[i]
match_rows <- which(data2$Location == country)
if (length(match_rows) > 0) {
W7R$HDI[i] <- data2$Human.Development.Index..HDI.[match_rows[1]]
}
}
print(unique(W7R$HDI))## [1] 0.733 0.845 0.751 0.836 0.935 0.885 0.570 0.662 0.755 0.782 0.536 0.798
## [13] NA 0.832 0.727 0.720 0.818 0.850 0.870 0.923 0.732 0.861 0.883 0.888
## [25] 0.754 0.916 0.865 0.627 0.910 0.828 0.899 0.684 0.766 0.654 0.873 0.891
## [37] 0.788 0.748 0.898 0.655 0.769 0.839 0.779 0.756 0.802 0.922 0.913 0.631
## [49] 0.514 0.944 0.538 0.734 0.668 0.843 0.830 0.793 0.771 0.844 0.666 0.880
## [61] 0.509 0.876 0.907 0.930 0.624 0.726 0.721 0.761 0.747 0.690 0.915Here we will simply check and drop out from the analysis those countries that from W7R don’t have their HDI listed.
Those countries are the results of unique_countries_with_NA_HDI and are “Taiwan”, “Ethiopia”, “Macau” and “PuertoRico”.
rows_with_NA <- which(is.na(W7R$HDI))
countries_with_NA_HDI <- W7R$cntry_name[rows_with_NA]
unique_countries_with_NA_HDI <- unique(countries_with_NA_HDI)
unique_countries_with_NA_HDI## [1] NA "Taiwan" "Ethiopia" "Macau" "PuertoRico"W7R <- W7R[!(W7R$cntry_name %in% unique_countries_with_NA_HDI), ]
rownames(W7R) <- NULLLet’s have a preliminary summary of the Dataset.
So since the 3 biggest indicators for HDI are: education, expected life and GNI per capita. Thus I have to drop some variables that would just be too highly correlated (and would not tell us much) with HDI, those are income level and education level and age (that will be dropped later on). I will also drop the column “E181_EVS5” that is what party the person has voted for. It would be great to do again a binary classification in populist and non populist like the last homework, but finding obscure parties in third world countries is a lot of work that I don’t want to take as of right now, maybe in a future project.
We can clearly see we have a lot NAs
names(W7R)## [1] "cntry_name" "E181_EVS5" "imp_fml" "imp_frnd" "imp_leis"
## [6] "imp_polt" "imp_wrk" "imp_rlg" "hap_feel" "life_sat"
## [11] "frdm_cntl" "fgt_cntr" "plc_int" "plc_eql" "plc_prpt"
## [16] "plc_rspn" "plc_cmpt" "dmc_tax" "dmc_rlg" "dmc_ppl"
## [21] "dmc_aid" "dmc_coup" "dmc_rght" "dmc_wmn" "dmc_eql"
## [26] "dmc_obey" "dmc_imp" "dmc_cnt" "el_fair" "el_opp"
## [31] "el_tv" "el_brb" "el_jrn" "el_off" "el_rch"
## [36] "el_thr" "c_chr" "c_arm" "c_prs" "c_uns"
## [41] "c_plc" "c_prl" "c_cvl" "c_eu1" "c_gvr"
## [46] "c_prt" "c_cmp" "c_env" "c_jst" "c_onu"
## [51] "ps_sat" "ps_lead" "ps_exp" "ps_arm" "ps_dmc"
## [56] "cq_mnr" "cq_ind" "cq_hwr" "cq_rsp" "cq_img"
## [61] "cq_tlr" "cq_thr" "cq_prs" "cq_rlg" "cq_uns"
## [66] "cq_obd" "trs_most" "trs_faml" "trs_ngh" "trs_knw"
## [71] "trs_met" "trs_rlg" "trs_ntn" "men_lead" "men_uni"
## [76] "men_chwm" "men_bsn" "post_mat" "env_vs_grw" "job_men"
## [81] "job_ntn" "hom_prn" "dut_chl" "dut_ill" "fc_work"
## [86] "fc_auth" "js_bnft" "js_fare" "js_tax" "js_brib"
## [91] "js_hom" "js_prst" "js_abr" "js_div" "js_euth"
## [96] "js_suic" "js_sex" "js_vlnc" "js_dthp" "imp_imm"
## [101] "cls_eu" "cls_wrl" "cls_vlg" "cls_rgn" "cls_cnt"
## [106] "gvr_vds" "gvr_eml" "gvr_inf" "pol_sp" "pol_rad"
## [111] "sex" "age" "nativ" "n_child" "edu_lvl"
## [116] "incm_lvl" "city_siz" "rel" "prd" "HDI"dim(W7R)## [1] 124367 120str(W7R)## 'data.frame': 124367 obs. of 120 variables:
## $ cntry_name: chr "Albania" "Albania" "Albania" "Albania" ...
## $ E181_EVS5 : num 866 801 802 802 801 866 801 802 866 866 ...
## $ imp_fml : num 2 1 1 1 1 1 1 1 1 1 ...
## $ imp_frnd : num 1 1 2 2 1 3 2 2 2 2 ...
## $ imp_leis : num 2 4 2 2 2 3 2 2 2 2 ...
## $ imp_polt : num 3 4 4 4 4 4 1 4 4 3 ...
## $ imp_wrk : num 2 1 1 1 1 1 1 1 1 1 ...
## $ imp_rlg : num 2 1 1 2 3 2 3 2 2 2 ...
## $ hap_feel : num 3 3 2 1 1 2 2 1 1 2 ...
## $ life_sat : num 2 5 10 10 10 5 8 10 9 8 ...
## $ frdm_cntl : num 2 4 5 5 9 10 5 2 8 9 ...
## $ fgt_cntr : num 1 1 1 1 1 1 1 0 1 1 ...
## $ plc_int : num 2 2 4 4 4 4 2 2 4 2 ...
## $ plc_eql : num 1 5 1 10 4 1 1 10 10 10 ...
## $ plc_prpt : num 6 1 10 6 1 5 10 10 5 3 ...
## $ plc_rspn : num 1 1 10 1 1 5 1 1 5 2 ...
## $ plc_cmpt : num 1 1 10 1 1 7 1 1 3 1 ...
## $ dmc_tax : num 10 7 10 5 7 10 3 1 2 4 ...
## $ dmc_rlg : num 1 1 1 6 1 1 1 1 1 1 ...
## $ dmc_ppl : num 10 10 10 10 10 10 10 10 10 10 ...
## $ dmc_aid : num 9 6 10 8 8 10 4 10 10 2 ...
## $ dmc_coup : num 5 1 1 4 1 1 6 5 1 1 ...
## $ dmc_rght : num 9 7 10 10 6 10 4 10 10 10 ...
## $ dmc_wmn : num 10 10 10 10 10 10 10 10 10 10 ...
## $ dmc_eql : num NA 7 10 6 8 10 NA 10 2 3 ...
## $ dmc_obey : num 8 1 1 4 1 1 2 1 1 1 ...
## $ dmc_imp : num 10 10 10 10 10 10 8 9 10 10 ...
## $ dmc_cnt : num 1 10 8 9 7 1 6 4 3 7 ...
## $ el_fair : num 4 4 3 NA 4 4 3 4 3 3 ...
## $ el_opp : num 2 4 4 4 1 NA 2 4 4 4 ...
## $ el_tv : num 2 1 3 2 1 3 1 2 1 1 ...
## $ el_brb : num 1 1 2 1 1 1 1 1 1 1 ...
## $ el_jrn : num 3 4 1 4 2 3 3 4 3 2 ...
## $ el_off : num 1 4 2 3 4 3 2 4 3 3 ...
## $ el_rch : num 1 1 1 1 1 1 2 1 1 1 ...
## $ el_thr : num 1 2 3 4 1 NA 2 4 4 3 ...
## $ c_chr : num 2 1 2 3 3 1 3 4 3 3 ...
## $ c_arm : num 2 1 1 2 3 4 2 2 2 2 ...
## $ c_prs : num 4 4 4 4 3 3 2 3 3 3 ...
## $ c_uns : num NA 4 4 4 3 4 3 3 3 3 ...
## $ c_plc : num 2 2 1 3 1 4 2 2 3 3 ...
## $ c_prl : num 4 4 4 4 4 4 2 4 4 4 ...
## $ c_cvl : num 4 3 4 2 2 4 1 3 2 4 ...
## $ c_eu1 : num 2 1 1 3 1 2 3 3 2 3 ...
## $ c_gvr : num 4 4 3 4 4 4 2 3 3 4 ...
## $ c_prt : num 4 4 4 4 4 4 2 3 3 4 ...
## $ c_cmp : num NA 1 4 3 3 3 3 3 2 4 ...
## $ c_env : num 2 4 4 3 3 4 3 3 3 3 ...
## $ c_jst : num 4 1 4 4 2 4 3 3 3 4 ...
## $ c_onu : num 2 1 1 3 1 4 3 3 2 3 ...
## $ ps_sat : num 1 2 1 6 1 1 7 5 3 7 ...
## $ ps_lead : num 4 2 4 4 4 4 3 3 3 4 ...
## $ ps_exp : num 2 3 1 1 3 1 2 3 2 1 ...
## $ ps_arm : num 4 4 4 3 4 4 3 3 4 4 ...
## $ ps_dmc : num 2 1 1 1 1 1 1 1 1 1 ...
## $ cq_mnr : num 1 1 1 1 1 1 1 1 1 1 ...
## $ cq_ind : num 0 0 0 0 0 0 1 0 1 1 ...
## $ cq_hwr : num 1 0 1 1 0 0 1 0 0 0 ...
## $ cq_rsp : num 0 1 1 1 1 1 0 1 1 1 ...
## $ cq_img : num 0 0 0 0 0 0 0 0 1 0 ...
## $ cq_tlr : num 1 0 1 1 1 1 1 1 0 0 ...
## $ cq_thr : num 1 1 0 0 1 1 1 1 0 0 ...
## $ cq_prs : num 0 1 1 0 0 0 0 0 1 1 ...
## $ cq_rlg : num 0 0 0 1 0 1 0 0 0 0 ...
## $ cq_uns : num 0 1 0 0 1 0 0 1 0 1 ...
## $ cq_obd : num 0 0 0 0 0 0 0 0 0 0 ...
## $ trs_most : num 2 2 2 2 2 2 2 2 2 2 ...
## $ trs_faml : num 1 1 1 1 1 1 1 1 1 1 ...
## $ trs_ngh : num 1 1 3 1 2 3 3 4 2 2 ...
## $ trs_knw : num 2 1 1 2 1 1 2 4 1 1 ...
## $ trs_met : num 3 4 4 4 4 4 3 4 4 4 ...
## $ trs_rlg : num 2 2 1 2 4 1 2 4 2 4 ...
## $ trs_ntn : num 2 2 1 2 4 1 2 4 2 4 ...
## $ men_lead : num 4 4 4 4 2 1 4 4 3 4 ...
## $ men_uni : num 4 4 4 4 4 4 4 4 4 4 ...
## $ men_chwm : num 2 3 4 2 2 1 2 3 3 2 ...
## $ men_bsn : num 4 4 4 2 1 2 3 4 2 4 ...
## $ post_mat : num 2 2 1 2 2 2 3 2 3 3 ...
## $ env_vs_grw: num 1.5 2 2 1.5 2 2 1 1 1 1 ...
## $ job_men : num 5 5 5 3 2 3 4 5 2 5 ...
## $ job_ntn : num 3 3 1 1 2 1 2 2 2 2 ...
## $ hom_prn : num 4 NA 5 5 5 5 4 2 3 2 ...
## $ dut_chl : num 2 1 4 5 1 5 4 4 3 5 ...
## $ dut_ill : num 1 1 1 1 1 1 2 2 2 2 ...
## $ fc_work : num 3 3 3 3 3 3 3 2 3 3 ...
## $ fc_auth : num 1 1 1 1 1 1 2 3 1 3 ...
## $ js_bnft : num 1 1 1 1 1 1 1 1 1 1 ...
## $ js_fare : num 1 1 1 1 1 1 1 1 1 1 ...
## $ js_tax : num 1 5 1 1 1 1 1 1 1 1 ...
## $ js_brib : num 1 5 1 1 1 3 5 1 1 2 ...
## $ js_hom : num 1 5 1 1 1 1 1 7 3 2 ...
## $ js_prst : num 1 10 1 1 1 1 1 1 1 2 ...
## $ js_abr : num 1 5 3 5 5 3 1 1 5 6 ...
## $ js_div : num 4 5 5 5 5 4 2 1 5 7 ...
## $ js_euth : num 1 2 2 1 5 1 1 1 1 1 ...
## $ js_suic : num 1 1 1 1 1 1 1 1 1 1 ...
## $ js_sex : num 1 1 1 1 1 1 1 1 1 3 ...
## $ js_vlnc : num 1 1 1 1 1 1 1 1 1 1 ...
## $ js_dthp : num 8 5 10 5 1 1 1 1 3 2 ...
## [list output truncated]summary(W7R)## cntry_name E181_EVS5 imp_fml imp_frnd
## Length:124367 Min. : 801 Min. :1.000 Min. :1.000
## Class :character 1st Qu.:20801 1st Qu.:1.000 1st Qu.:1.000
## Mode :character Median :35205 Median :1.000 Median :2.000
## Mean :40768 Mean :1.117 Mean :1.676
## 3rd Qu.:64314 3rd Qu.:1.000 3rd Qu.:2.000
## Max. :82666 Max. :4.000 Max. :4.000
## NA's :78262 NA's :319 NA's :464
## imp_leis imp_polt imp_wrk imp_rlg
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:1.000 1st Qu.:2.000 1st Qu.:1.000 1st Qu.:1.000
## Median :2.000 Median :3.000 Median :1.000 Median :2.000
## Mean :1.765 Mean :2.642 Mean :1.547 Mean :2.156
## 3rd Qu.:2.000 3rd Qu.:3.000 3rd Qu.:2.000 3rd Qu.:3.000
## Max. :4.000 Max. :4.000 Max. :4.000 Max. :4.000
## NA's :783 NA's :1471 NA's :1366 NA's :1414
## hap_feel life_sat frdm_cntl fgt_cntr
## Min. :1.000 Min. : 1.000 Min. : 1.000 Min. :0.000
## 1st Qu.:1.000 1st Qu.: 6.000 1st Qu.: 6.000 1st Qu.:0.000
## Median :2.000 Median : 8.000 Median : 8.000 Median :1.000
## Mean :1.868 Mean : 7.217 Mean : 7.203 Mean :0.694
## 3rd Qu.:2.000 3rd Qu.: 9.000 3rd Qu.: 9.000 3rd Qu.:1.000
## Max. :4.000 Max. :10.000 Max. :10.000 Max. :1.000
## NA's :1130 NA's :569 NA's :1441 NA's :10486
## plc_int plc_eql plc_prpt plc_rspn
## Min. :1.000 Min. : 1.000 Min. : 1.000 Min. : 1.000
## 1st Qu.:2.000 1st Qu.: 4.000 1st Qu.: 4.000 1st Qu.: 3.000
## Median :3.000 Median : 6.000 Median : 5.000 Median : 6.000
## Mean :2.655 Mean : 5.971 Mean : 5.531 Mean : 5.646
## 3rd Qu.:3.000 3rd Qu.: 8.000 3rd Qu.: 8.000 3rd Qu.: 8.000
## Max. :4.000 Max. :10.000 Max. :10.000 Max. :10.000
## NA's :769 NA's :2111 NA's :6542 NA's :1835
## plc_cmpt dmc_tax dmc_rlg dmc_ppl
## Min. : 1.000 Min. : 0.000 Min. : 0.000 Min. : 0.00
## 1st Qu.: 1.000 1st Qu.: 5.000 1st Qu.: 1.000 1st Qu.: 7.00
## Median : 4.000 Median : 7.000 Median : 3.000 Median :10.00
## Mean : 3.927 Mean : 6.431 Mean : 3.682 Mean : 8.18
## 3rd Qu.: 5.000 3rd Qu.: 9.000 3rd Qu.: 6.000 3rd Qu.:10.00
## Max. :10.000 Max. :10.000 Max. :10.000 Max. :10.00
## NA's :2910 NA's :8588 NA's :10752 NA's :7231
## dmc_aid dmc_coup dmc_rght dmc_wmn
## Min. : 0.000 Min. : 0.000 Min. : 0.000 Min. : 0.00
## 1st Qu.: 5.000 1st Qu.: 1.000 1st Qu.: 6.000 1st Qu.: 7.00
## Median : 8.000 Median : 4.000 Median : 8.000 Median :10.00
## Mean : 7.086 Mean : 4.323 Mean : 7.632 Mean : 8.31
## 3rd Qu.:10.000 3rd Qu.: 7.000 3rd Qu.:10.000 3rd Qu.:10.00
## Max. :10.000 Max. :10.000 Max. :10.000 Max. :10.00
## NA's :7390 NA's :14352 NA's :10049 NA's :6536
## dmc_eql dmc_obey dmc_imp dmc_cnt
## Min. : 0.000 Min. : 0.000 Min. : 1.000 Min. : 1.000
## 1st Qu.: 4.000 1st Qu.: 3.000 1st Qu.: 8.000 1st Qu.: 5.000
## Median : 6.000 Median : 5.000 Median :10.000 Median : 6.000
## Mean : 6.011 Mean : 5.454 Mean : 8.523 Mean : 6.121
## 3rd Qu.: 9.000 3rd Qu.: 8.000 3rd Qu.:10.000 3rd Qu.: 8.000
## Max. :10.000 Max. :10.000 Max. :10.000 Max. :10.000
## NA's :8582 NA's :8887 NA's :2474 NA's :3992
## el_fair el_opp el_tv el_brb
## Min. :1.000 Min. :1.000 Min. :1.00 Min. :1.000
## 1st Qu.:1.000 1st Qu.:2.000 1st Qu.:2.00 1st Qu.:2.000
## Median :2.000 Median :3.000 Median :2.00 Median :3.000
## Mean :2.064 Mean :2.968 Mean :2.33 Mean :2.609
## 3rd Qu.:3.000 3rd Qu.:4.000 3rd Qu.:3.00 3rd Qu.:4.000
## Max. :4.000 Max. :4.000 Max. :4.00 Max. :4.000
## NA's :14195 NA's :21255 NA's :20460 NA's :17776
## el_jrn el_off el_rch el_thr
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:2.000 1st Qu.:1.000 1st Qu.:2.000 1st Qu.:3.000
## Median :2.000 Median :2.000 Median :3.000 Median :4.000
## Mean :2.378 Mean :2.192 Mean :2.556 Mean :3.243
## 3rd Qu.:3.000 3rd Qu.:3.000 3rd Qu.:3.000 3rd Qu.:4.000
## Max. :4.000 Max. :4.000 Max. :4.000 Max. :4.000
## NA's :15653 NA's :16563 NA's :20061 NA's :18886
## c_chr c_arm c_prs c_uns c_plc
## Min. :1.000 Min. :1.00 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:1.000 1st Qu.:1.00 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:2.000
## Median :2.000 Median :2.00 Median :3.000 Median :3.000 Median :2.000
## Mean :2.306 Mean :2.13 Mean :2.764 Mean :2.744 Mean :2.288
## 3rd Qu.:3.000 3rd Qu.:3.00 3rd Qu.:3.000 3rd Qu.:3.000 3rd Qu.:3.000
## Max. :4.000 Max. :4.00 Max. :4.000 Max. :4.000 Max. :4.000
## NA's :3069 NA's :6806 NA's :2777 NA's :9887 NA's :2930
## c_prl c_cvl c_eu1 c_gvr
## Min. :1.000 Min. :1.000 Min. :1.00 Min. :1.000
## 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:2.00 1st Qu.:2.000
## Median :3.000 Median :3.000 Median :3.00 Median :3.000
## Mean :2.815 Mean :2.585 Mean :2.67 Mean :2.697
## 3rd Qu.:4.000 3rd Qu.:3.000 3rd Qu.:3.00 3rd Qu.:3.000
## Max. :4.000 Max. :4.000 Max. :4.00 Max. :4.000
## NA's :4281 NA's :4267 NA's :58097 NA's :4470
## c_prt c_cmp c_env c_jst
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:2.000
## Median :3.000 Median :3.000 Median :2.000 Median :2.000
## Mean :3.019 Mean :2.674 Mean :2.441 Mean :2.482
## 3rd Qu.:4.000 3rd Qu.:3.000 3rd Qu.:3.000 3rd Qu.:3.000
## Max. :4.000 Max. :4.000 Max. :4.000 Max. :4.000
## NA's :4799 NA's :8352 NA's :8341 NA's :5054
## c_onu ps_sat ps_lead ps_exp
## Min. :1.000 Min. : 1.00 Min. :1.000 Min. :1.000
## 1st Qu.:2.000 1st Qu.: 3.00 1st Qu.:2.000 1st Qu.:2.000
## Median :3.000 Median : 5.00 Median :3.000 Median :2.000
## Mean :2.581 Mean : 5.23 Mean :2.657 Mean :2.341
## 3rd Qu.:3.000 3rd Qu.: 7.00 3rd Qu.:4.000 3rd Qu.:3.000
## Max. :4.000 Max. :10.00 Max. :4.000 Max. :4.000
## NA's :15805 NA's :4513 NA's :7984 NA's :9757
## ps_arm ps_dmc cq_mnr cq_ind
## Min. :1.000 Min. :1.000 Min. :0.0000 Min. :0.0000
## 1st Qu.:2.000 1st Qu.:1.000 1st Qu.:1.0000 1st Qu.:0.0000
## Median :3.000 Median :1.000 Median :1.0000 Median :0.0000
## Mean :3.138 Mean :1.609 Mean :0.7587 Mean :0.4744
## 3rd Qu.:4.000 3rd Qu.:2.000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :4.000 Max. :4.000 Max. :1.0000 Max. :1.0000
## NA's :11481 NA's :6531 NA's :887 NA's :1681
## cq_hwr cq_rsp cq_img cq_tlr
## Min. :0.0000 Min. :0.0 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0 1st Qu.:0.0000 1st Qu.:0.0000
## Median :1.0000 Median :1.0 Median :0.0000 Median :1.0000
## Mean :0.5223 Mean :0.7 Mean :0.2209 Mean :0.6679
## 3rd Qu.:1.0000 3rd Qu.:1.0 3rd Qu.:0.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0 Max. :1.0000 Max. :1.0000
## NA's :1244 NA's :1109 NA's :2287 NA's :1351
## cq_thr cq_prs cq_rlg cq_uns
## Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000 Median :0.0000 Median :0.0000
## Mean :0.3216 Mean :0.3569 Mean :0.2799 Mean :0.2691
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000 Max. :1.0000 Max. :1.0000
## NA's :1933 NA's :2002 NA's :2222 NA's :2171
## cq_obd trs_most trs_faml trs_ngh
## Min. :0.0000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:0.0000 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:2.000
## Median :0.0000 Median :2.000 Median :1.000 Median :2.000
## Mean :0.2692 Mean :1.718 Mean :1.224 Mean :2.131
## 3rd Qu.:1.0000 3rd Qu.:2.000 3rd Qu.:1.000 3rd Qu.:3.000
## Max. :1.0000 Max. :2.000 Max. :4.000 Max. :4.000
## NA's :2246 NA's :2166 NA's :427 NA's :1328
## trs_knw trs_met trs_rlg trs_ntn men_lead
## Min. :1.000 Min. :1.00 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:1.000 1st Qu.:2.00 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:2.000
## Median :2.000 Median :3.00 Median :3.000 Median :3.000 Median :3.000
## Mean :1.978 Mean :2.94 Mean :2.604 Mean :2.661 Mean :2.753
## 3rd Qu.:2.000 3rd Qu.:4.00 3rd Qu.:3.000 3rd Qu.:3.000 3rd Qu.:3.000
## Max. :4.000 Max. :4.00 Max. :4.000 Max. :4.000 Max. :4.000
## NA's :821 NA's :2362 NA's :7342 NA's :7098 NA's :4167
## men_uni men_chwm men_bsn post_mat
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:1.000
## Median :3.000 Median :3.000 Median :3.000 Median :2.000
## Mean :3.131 Mean :2.599 Mean :2.847 Mean :1.851
## 3rd Qu.:4.000 3rd Qu.:3.000 3rd Qu.:4.000 3rd Qu.:2.000
## Max. :4.000 Max. :4.000 Max. :4.000 Max. :3.000
## NA's :2274 NA's :2625 NA's :3633 NA's :5076
## env_vs_grw job_men job_ntn hom_prn dut_chl
## Min. :1.000 Min. :1.000 Min. :1.00 Min. :1.000 Min. :1.000
## 1st Qu.:1.000 1st Qu.:2.000 1st Qu.:1.00 1st Qu.:2.000 1st Qu.:2.000
## Median :1.000 Median :4.000 Median :2.00 Median :3.000 Median :3.000
## Mean :1.398 Mean :3.239 Mean :2.18 Mean :3.225 Mean :2.895
## 3rd Qu.:2.000 3rd Qu.:4.000 3rd Qu.:3.00 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :2.000 Max. :5.000 Max. :5.00 Max. :5.000 Max. :5.000
## NA's :7984 NA's :7787 NA's :7914 NA's :16986 NA's :1909
## dut_ill fc_work fc_auth js_bnft
## Min. :1.000 Min. :1.000 Min. :1.000 Min. : 1.000
## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.000 1st Qu.: 1.000
## Median :2.000 Median :3.000 Median :1.000 Median : 1.000
## Mean :2.204 Mean :2.181 Mean :1.598 Mean : 2.671
## 3rd Qu.:3.000 3rd Qu.:3.000 3rd Qu.:2.000 3rd Qu.: 4.000
## Max. :5.000 Max. :3.000 Max. :3.000 Max. :10.000
## NA's :1301 NA's :4669 NA's :5903 NA's :2316
## js_fare js_tax js_brib js_hom
## Min. : 1.000 Min. : 1.000 Min. : 1.00 Min. : 1.000
## 1st Qu.: 1.000 1st Qu.: 1.000 1st Qu.: 1.00 1st Qu.: 1.000
## Median : 1.000 Median : 1.000 Median : 1.00 Median : 3.000
## Mean : 2.766 Mean : 2.176 Mean : 1.78 Mean : 4.303
## 3rd Qu.: 4.000 3rd Qu.: 2.000 3rd Qu.: 2.00 3rd Qu.: 8.000
## Max. :10.000 Max. :10.000 Max. :10.00 Max. :10.000
## NA's :3924 NA's :1703 NA's :1402 NA's :7436
## js_prst js_abr js_div js_euth
## Min. : 1.000 Min. : 1.000 Min. : 1.000 Min. : 1.000
## 1st Qu.: 1.000 1st Qu.: 1.000 1st Qu.: 2.000 1st Qu.: 1.000
## Median : 1.000 Median : 4.000 Median : 5.000 Median : 4.000
## Mean : 2.925 Mean : 4.171 Mean : 5.483 Mean : 4.379
## 3rd Qu.: 5.000 3rd Qu.: 7.000 3rd Qu.: 8.000 3rd Qu.: 7.000
## Max. :10.000 Max. :10.000 Max. :10.000 Max. :10.000
## NA's :9549 NA's :3589 NA's :2772 NA's :6044
## js_suic js_sex js_vlnc js_dthp
## Min. : 1.000 Min. : 1.000 Min. : 1.000 Min. : 1.000
## 1st Qu.: 1.000 1st Qu.: 1.000 1st Qu.: 1.000 1st Qu.: 1.000
## Median : 1.000 Median : 2.000 Median : 1.000 Median : 2.000
## Mean : 2.613 Mean : 3.669 Mean : 1.827 Mean : 3.753
## 3rd Qu.: 4.000 3rd Qu.: 6.000 3rd Qu.: 2.000 3rd Qu.: 6.000
## Max. :10.000 Max. :10.000 Max. :10.000 Max. :10.000
## NA's :4067 NA's :9241 NA's :5552 NA's :3936
## imp_imm cls_eu cls_wrl cls_vlg
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:1.000
## Median :3.000 Median :2.000 Median :3.000 Median :2.000
## Mean :2.949 Mean :2.428 Mean :2.498 Mean :1.677
## 3rd Qu.:4.000 3rd Qu.:3.000 3rd Qu.:3.000 3rd Qu.:2.000
## Max. :5.000 Max. :4.000 Max. :4.000 Max. :4.000
## NA's :4173 NA's :3290 NA's :4141 NA's :1052
## cls_rgn cls_cnt gvr_vds gvr_eml
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:2.000
## Median :2.000 Median :2.000 Median :2.000 Median :3.000
## Mean :1.822 Mean :1.721 Mean :2.269 Mean :2.987
## 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:3.000 3rd Qu.:4.000
## Max. :4.000 Max. :4.000 Max. :4.000 Max. :4.000
## NA's :3493 NA's :1371 NA's :4184 NA's :5749
## gvr_inf pol_sp pol_rad sex
## Min. :1.000 Min. : 1.00 Min. : 0.00 Min. :1.000
## 1st Qu.:2.000 1st Qu.: 4.00 1st Qu.: 0.00 1st Qu.:1.000
## Median :3.000 Median : 5.00 Median : 4.00 Median :2.000
## Mean :3.055 Mean : 5.61 Mean : 6.04 Mean :1.539
## 3rd Qu.:4.000 3rd Qu.: 7.00 3rd Qu.: 9.00 3rd Qu.:2.000
## Max. :4.000 Max. :10.00 Max. :25.00 Max. :2.000
## NA's :5096 NA's :34816 NA's :34816 NA's :74
## age nativ n_child edu_lvl
## Min. :1.000 Min. :1.000 Min. :0.000 Min. :1.000
## 1st Qu.:2.000 1st Qu.:1.000 1st Qu.:0.000 1st Qu.:1.000
## Median :4.000 Median :1.000 Median :2.000 Median :2.000
## Mean :3.579 Mean :1.059 Mean :1.655 Mean :2.037
## 3rd Qu.:5.000 3rd Qu.:1.000 3rd Qu.:2.000 3rd Qu.:3.000
## Max. :6.000 Max. :2.000 Max. :5.000 Max. :3.000
## NA's :430 NA's :230 NA's :1263 NA's :1025
## incm_lvl city_siz rel prd
## Min. : 1.00 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.: 3.00 1st Qu.:2.000 1st Qu.:1.000 1st Qu.:1.000
## Median : 5.00 Median :3.000 Median :1.000 Median :1.000
## Mean : 5.01 Mean :2.864 Mean :1.429 Mean :1.582
## 3rd Qu.: 7.00 3rd Qu.:4.000 3rd Qu.:2.000 3rd Qu.:2.000
## Max. :10.00 Max. :5.000 Max. :3.000 Max. :4.000
## NA's :74884 NA's :6899 NA's :4091 NA's :5273
## HDI
## Min. :0.5090
## 1st Qu.:0.7330
## Median :0.7930
## Mean :0.7911
## 3rd Qu.:0.8850
## Max. :0.9440
## W7R <- W7R[, !(names(W7R) %in% c("incm_lvl", "edu_lvl", "E181_EVS5"))]
na_count <- colSums(is.na(W7R))
print(na_count)## cntry_name imp_fml imp_frnd imp_leis imp_polt imp_wrk imp_rlg
## 0 319 464 783 1471 1366 1414
## hap_feel life_sat frdm_cntl fgt_cntr plc_int plc_eql plc_prpt
## 1130 569 1441 10486 769 2111 6542
## plc_rspn plc_cmpt dmc_tax dmc_rlg dmc_ppl dmc_aid dmc_coup
## 1835 2910 8588 10752 7231 7390 14352
## dmc_rght dmc_wmn dmc_eql dmc_obey dmc_imp dmc_cnt el_fair
## 10049 6536 8582 8887 2474 3992 14195
## el_opp el_tv el_brb el_jrn el_off el_rch el_thr
## 21255 20460 17776 15653 16563 20061 18886
## c_chr c_arm c_prs c_uns c_plc c_prl c_cvl
## 3069 6806 2777 9887 2930 4281 4267
## c_eu1 c_gvr c_prt c_cmp c_env c_jst c_onu
## 58097 4470 4799 8352 8341 5054 15805
## ps_sat ps_lead ps_exp ps_arm ps_dmc cq_mnr cq_ind
## 4513 7984 9757 11481 6531 887 1681
## cq_hwr cq_rsp cq_img cq_tlr cq_thr cq_prs cq_rlg
## 1244 1109 2287 1351 1933 2002 2222
## cq_uns cq_obd trs_most trs_faml trs_ngh trs_knw trs_met
## 2171 2246 2166 427 1328 821 2362
## trs_rlg trs_ntn men_lead men_uni men_chwm men_bsn post_mat
## 7342 7098 4167 2274 2625 3633 5076
## env_vs_grw job_men job_ntn hom_prn dut_chl dut_ill fc_work
## 7984 7787 7914 16986 1909 1301 4669
## fc_auth js_bnft js_fare js_tax js_brib js_hom js_prst
## 5903 2316 3924 1703 1402 7436 9549
## js_abr js_div js_euth js_suic js_sex js_vlnc js_dthp
## 3589 2772 6044 4067 9241 5552 3936
## imp_imm cls_eu cls_wrl cls_vlg cls_rgn cls_cnt gvr_vds
## 4173 3290 4141 1052 3493 1371 4184
## gvr_eml gvr_inf pol_sp pol_rad sex age nativ
## 5749 5096 34816 34816 74 430 230
## n_child city_siz rel prd HDI
## 1263 6899 4091 5273 0na_count2 <- sum(is.na(W7R$HDI))
print(na_count2)## [1] 0Imputation
Since we have lots of NAs we need to impute. I decided to impute all dataset to keep the particularity of all data, rather than doing the sampling before the imputation. This means that the imputing took about 6 hours.
#md.pattern(W7R)
#LET'S IMPUTE THE NAs
# imputed_W7R <- mice(W7R, m = 5, maxit = 5, method = "pmm", seed = 123)
#
# complete_W7R <- complete(imputed_W7R)
#
# save(complete_W7R, file= "complete_W7R.rda")
load("complete_W7R.rda")
#remove dupes
imputed_data <- complete_W7R[!duplicated(complete_W7R), ]
#let's make sure we have no NAs
na_count <- colSums(is.na(imputed_data))
print(na_count)## cntry_name imp_fml imp_frnd imp_leis imp_polt imp_wrk imp_rlg
## 0 0 0 0 0 0 0
## hap_feel life_sat frdm_cntl fgt_cntr plc_int plc_eql plc_prpt
## 0 0 0 0 0 0 0
## plc_rspn plc_cmpt dmc_tax dmc_rlg dmc_ppl dmc_aid dmc_coup
## 0 0 0 0 0 0 0
## dmc_rght dmc_wmn dmc_eql dmc_obey dmc_imp dmc_cnt el_fair
## 0 0 0 0 0 0 0
## el_opp el_tv el_brb el_jrn el_off el_rch el_thr
## 0 0 0 0 0 0 0
## c_chr c_arm c_prs c_uns c_plc c_prl c_cvl
## 0 0 0 0 0 0 0
## c_eu1 c_gvr c_prt c_cmp c_env c_jst c_onu
## 0 0 0 0 0 0 0
## ps_sat ps_lead ps_exp ps_arm ps_dmc cq_mnr cq_ind
## 0 0 0 0 0 0 0
## cq_hwr cq_rsp cq_img cq_tlr cq_thr cq_prs cq_rlg
## 0 0 0 0 0 0 0
## cq_uns cq_obd trs_most trs_faml trs_ngh trs_knw trs_met
## 0 0 0 0 0 0 0
## trs_rlg trs_ntn men_lead men_uni men_chwm men_bsn post_mat
## 0 0 0 0 0 0 0
## env_vs_grw job_men job_ntn hom_prn dut_chl dut_ill fc_work
## 0 0 0 0 0 0 0
## fc_auth js_bnft js_fare js_tax js_brib js_hom js_prst
## 0 0 0 0 0 0 0
## js_abr js_div js_euth js_suic js_sex js_vlnc js_dthp
## 0 0 0 0 0 0 0
## imp_imm cls_eu cls_wrl cls_vlg cls_rgn cls_cnt gvr_vds
## 0 0 0 0 0 0 0
## gvr_eml gvr_inf pol_sp pol_rad sex age nativ
## 0 0 0 0 0 0 0
## n_child city_siz rel prd HDI
## 0 0 0 0 0#just to check HDI and country it's still correct
vars_to_save = c("HDI", "cntry_name")
sub_to_check = imputed_data[,vars_to_save]Sampling of dataset
Due to system limitation, it is not possible for me to use the whole dataset to compute a random forest as it will take 120gb of memory and I guess a long time to compute. I will have to use a samples.
In the of the project i will use 20 random samples per country. This because after trying other numbers the computational times were enormous, especially for OLS_all_steps.
#sample random records
library(dplyr)##
## Attaching package: 'dplyr'## The following object is masked from 'package:randomForest':
##
## combine## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, unionsample_n_unique <- function(data, n) {
data %>%
group_by(cntry_name) %>%
slice_sample(n = 20, replace = FALSE)
}
#subset with n samples
subset_data <- imputed_data %>%
group_by(cntry_name) %>%
sample_n_unique(20)
#to make sure:
dim(subset_data)## [1] 1500 117table(subset_data$cntry_name)##
## Albania Andorra Argentina Armenia Australia
## 20 20 20 20 20
## Austria Azerbaijan Bangladesh Belarus Bolivia
## 20 20 20 20 20
## Bosnia Brazil Bulgaria Chile China
## 20 20 20 20 20
## Colombia Croatia Cyprus Czechia Denmark
## 20 20 20 20 20
## Ecuador Egypt Estonia Finland France
## 20 20 20 20 20
## Georgia Germany Great-Britain Greece Guatemala
## 20 20 20 20 20
## HongKong-SAR Hungary Iceland Indonesia Iran
## 20 20 20 20 20
## Iraq Italy Japan Jordan Kazakhstan
## 20 20 20 20 20
## Kyrgyzstan Lebanon Lithuania Malaysia Mexico
## 20 20 20 20 20
## Montenegro Myanmar Netherlands New-Zealand Nicaragua
## 20 20 20 20 20
## Nigeria North-Macedonia Norway Pakistan Peru
## 20 20 20 20 20
## Philippines Poland Portugal Romania Russia
## 20 20 20 20 20
## Serbia Slovakia Slovenia South-Korea Spain
## 20 20 20 20 20
## Sweden Switzerland Tajikistan Thailand Tunisia
## 20 20 20 20 20
## Turkey Ukraine United-States Vietnam Zimbabwe
## 20 20 20 20 20Feature Selection
Just as in the last exam I will make use of the feature importance of random forests to make Feature Selection to reduce form the 117 variables of the dataset.
# I will be using Random Forest feature importance to obtain the first 25 (out of the 117 I have) variables to predict HDI:
#have to drop cntry name because is a string and age becasue it's hihgly correlated with HDI
subset_data <- subset_data[, !names(subset_data) %in% "cntry_name"] #take off country name
subset_data1 <- subset_data[, !names(subset_data) %in% "age"] #take off
#here i will scale to better compute the random forest
scaled_df <- scale(subset_data1)
scaled_df <- as.data.frame(scaled_df)
set.seed(1234)
rf1 = randomForest(HDI ~ ., data=scaled_df, na.action = na.roughfix,
proximity = T,
ntree=500, mtry=4, importance=TRUE)
#the feautre importance
t = importance(rf1)
t1 = sort(t[,1], decreasing = T)
t2 = t1[1:15] #15 predictor in decreasing order
importance_vars = names(t2) #IN T2 THERE ARE NAMED VECTORS, TO ACCESS NAMES WE DO THIS
print(importance_vars) #CHECK CORRECT NAMES## [1] "js_hom" "js_abr" "js_euth" "js_div" "dut_ill" "el_fair" "ps_arm"
## [8] "imp_rlg" "job_men" "el_brb" "ps_lead" "cq_rlg" "dmc_rlg" "dut_chl"
## [15] "hom_prn"# List of variables to keep
my_vars <- c("js_hom", "js_abr", "js_div", "imp_rlg", "js_euth", "dut_ill", "ps_arm", "dut_chl", "el_fair", "job_men", "el_thr", "trs_ntn", "ps_lead", "men_lead", "el_brb", "HDI")
my_sub <- subset_data[, my_vars]
my_sub <- as.data.frame(my_sub)Recomputing variables
As later on I saw a big correlation between these 3 variables I decided to make only 1 variable out of these 3. This actually makes a lot of sense as in common sociology this variables are “proxies” to asses if an individual is religious or not. Reasons why I am doing here rather than after is because doing so I don’t have to do it 4 times.
my_sub$rel = (my_sub$js_hom + my_sub$js_abr + my_sub$js_div + my_sub$js_euth)/4
my_sub <- my_sub[, !(names(my_sub) %in% c("js_hom", "js_abr", "js_div", "js_euth"))]Splitting
in_train <- createDataPartition(my_sub$HDI, p = 0.75, list = FALSE) # 75% for training
training <- my_sub[ in_train,]
testing <- my_sub[-in_train,]
nrow(training)## [1] 1125nrow(testing)## [1] 375Creation of categorical Variable
So here I will create a categorical variable called “cat”. It’s the variable HDI that I wanted to split into a binary variable. 761 is the HDI of Turkey, which is very close to being a middle point for splitting, but while keeping a bit more countries (10 circa) at the lower end of the scale
# Assuming df is your dataframe and your_variable is the column name
training_cat <- training %>%
mutate(cat = ifelse(HDI >= 0.761, "high", "low"))
testing_cat <- testing %>%
mutate(cat = ifelse(HDI >= 0.761, "high", "low"))
training_cat <- training_cat[, !names(training_cat) %in% "HDI"] #take off
testing_cat <- testing_cat[, !names(testing_cat) %in% "HDI"] #take off
training_cat$cat <- factor(training_cat$cat, levels = c("low", "high"))
testing_cat$cat <- factor(testing_cat$cat, levels = c("low", "high"))
levels(training_cat$cat)## [1] "low" "high"Visualization
here we will do a bit of visualization to see how data is distributed and correlations
library(ggplot2)
library(GGally)
ggcorr(training, label=TRUE)
heatmap(cor(training))
training %>% ggplot(aes(x=HDI)) + geom_density(fill="navyblue") 
training %>% ggplot(aes(x=rel, y=HDI)) + geom_point(color = "navyblue")
boxplot(training, las=2, col="darkblue")
#scale to see how HDI is disrtibuted
boxplot(scale(training), las=2, col="darkblue")
hist(training$HDI, col="lightblue")
plot(training_cat$cat, col="lightblue")
Creating test_results
I will try some ways of regression and ML stuff so it’s good to keep a log
test_results <- data.frame(HDI = testing$HDI)
test_results_cat <- data.frame(cat = testing_cat$cat)Regression
Let’s start with the regression
linFit <- lm(HDI ~ rel, data=training)
summary(linFit)##
## Call:
## lm(formula = HDI ~ rel, data = training)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.36873 -0.04863 0.01404 0.05826 0.21124
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.6889850 0.0050124 137.46 <2e-16 ***
## rel 0.0217745 0.0009785 22.25 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.08886 on 1123 degrees of freedom
## Multiple R-squared: 0.306, Adjusted R-squared: 0.3054
## F-statistic: 495.1 on 1 and 1123 DF, p-value: < 2.2e-16par(mfrow=c(2,2))
plot(linFit, pch=23 ,bg='orange',cex=2) 
pr.simple = predict(linFit, newdata=testing)
cor(testing$HDI, pr.simple)^2## [1] 0.3048634The squared correlation is equal 0.31 which is not great
linFit <- lm(HDI ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair + job_men + el_thr + trs_ntn + ps_lead + men_lead + el_brb + rel, data = training)
summary(linFit)##
## Call:
## lm(formula = HDI ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair +
## job_men + el_thr + trs_ntn + ps_lead + men_lead + el_brb +
## rel, data = training)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.251338 -0.040310 0.007679 0.053880 0.213311
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.612479 0.017948 34.124 < 2e-16 ***
## imp_rlg 0.014237 0.002586 5.506 4.56e-08 ***
## dut_ill 0.008534 0.002425 3.519 0.000450 ***
## ps_arm 0.019830 0.002761 7.184 1.24e-12 ***
## dut_chl 0.004796 0.002204 2.176 0.029794 *
## el_fair -0.012638 0.002669 -4.734 2.48e-06 ***
## job_men 0.003504 0.002283 1.535 0.125137
## el_thr 0.003027 0.002904 1.042 0.297455
## trs_ntn -0.009811 0.002948 -3.328 0.000904 ***
## ps_lead 0.006972 0.002508 2.779 0.005538 **
## men_lead 0.005221 0.002933 1.780 0.075317 .
## el_brb 0.001595 0.002587 0.617 0.537586
## rel 0.009867 0.001154 8.552 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.07907 on 1112 degrees of freedom
## Multiple R-squared: 0.4559, Adjusted R-squared: 0.45
## F-statistic: 77.64 on 12 and 1112 DF, p-value: < 2.2e-16adjusted R-squared it’s 0.48 which is greater than only using rel as predictor
pr.multiple = predict(linFit, newdata=testing)
cor(testing$HDI, pr.multiple)^2## [1] 0.4553961Correlation with all vars is = 0.49 which is better than using only 1 variable
library(olsrr)##
## Attaching package: 'olsrr'## The following object is masked from 'package:datasets':
##
## riversnames(my_sub)## [1] "imp_rlg" "dut_ill" "ps_arm" "dut_chl" "el_fair" "job_men"
## [7] "el_thr" "trs_ntn" "ps_lead" "men_lead" "el_brb" "HDI"
## [13] "rel"model <- HDI ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair + job_men + el_thr + trs_ntn + ps_lead + men_lead + el_brb + rel
linFit <- lm(model, data=training)
ols_step_all_possible(linFit) # All possible subset regressions: the number is exponential with p ## Index N
## 12 1 1
## 6 2 1
## 1 3 1
## 3 4 1
## 2 5 1
## 4 6 1
## 10 7 1
## 9 8 1
## 5 9 1
## 8 10 1
## 7 11 1
## 11 12 1
## 42 13 2
## 23 14 2
## 63 15 2
## 33 16 2
## 75 17 2
## 57 18 2
## 50 19 2
## 77 20 2
## 78 21 2
## 68 22 2
## 72 23 2
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## 3169 3287 7
## 3259 3288 7
## 3157 3289 7
## 3223 3290 7
## 3148 3291 7
## 3119 3292 7
## 3121 3293 7
## 3105 3294 7
## 3281 3295 7
## 3139 3296 7
## 3272 3297 7
## 3136 3298 7
## 3287 3299 7
## 3294 3300 7
## 3269 3301 7
## 3384 3302 8
## 3403 3303 8
## 3329 3304 8
## 3331 3305 8
## 3310 3306 8
## 3386 3307 8
## 3334 3308 8
## 3313 3309 8
## 3375 3310 8
## 3394 3311 8
## 3396 3312 8
## 3543 3313 8
## 3389 3314 8
## 3387 3315 8
## 3320 3316 8
## 3404 3317 8
## 3405 3318 8
## 3524 3319 8
## 3332 3320 8
## 3378 3321 8
## 3390 3322 8
## 3399 3323 8
## 3323 3324 8
## 3406 3325 8
## 3335 3326 8
## 3315 3327 8
## 3526 3328 8
## 3325 3329 8
## 3306 3330 8
## 3579 3331 8
## 3336 3332 8
## 3534 3333 8
## 3316 3334 8
## 3544 3335 8
## 3536 3336 8
## 3545 3337 8
## 3380 3338 8
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## 3391 3340 8
## 3527 3341 8
## 3397 3342 8
## 3529 3343 8
## 3570 3344 8
## 3580 3345 8
## 3381 3346 8
## 3584 3347 8
## 3400 3348 8
## 3539 3349 8
## 3588 3350 8
## 3546 3351 8
## 3518 3352 8
## 3530 3353 8
## 3401 3354 8
## 3326 3355 8
## 3572 3356 8
## 3581 3357 8
## 3419 3358 8
## 3409 3359 8
## 3537 3360 8
## 3427 3361 8
## 3369 3362 8
## 3359 3363 8
## 3423 3364 8
## 3575 3365 8
## 3520 3366 8
## 3582 3367 8
## 3531 3368 8
## 3573 3369 8
## 3368 3370 8
## 3349 3371 8
## 3540 3372 8
## 3352 3373 8
## 3370 3374 8
## 3644 3375 8
## 3663 3376 8
## 3418 3377 8
## 3586 3378 8
## 3340 3379 8
## 3361 3380 8
## 3412 3381 8
## 3521 3382 8
## 3541 3383 8
## 3420 3384 8
## 3424 3385 8
## 3576 3386 8
## 3411 3387 8
## 3425 3388 8
## 3362 3389 8
## 3585 3390 8
## 3699 3391 8
## 3559 3392 8
## 3646 3393 8
## 3567 3394 8
## 3587 3395 8
## 3355 3396 8
## 3635 3397 8
## 3371 3398 8
## 3656 3399 8
## 3690 3400 8
## 3647 3401 8
## 3415 3402 8
## 3421 3403 8
## 3343 3404 8
## 3654 3405 8
## 3549 3406 8
## 3665 3407 8
## 3700 3408 8
## 3649 3409 8
## 3563 3410 8
## 3364 3411 8
## 3351 3412 8
## 3664 3413 8
## 3638 3414 8
## 3414 3415 8
## 3577 3416 8
## 3650 3417 8
## 3426 3418 8
## 3365 3419 8
## 3659 3420 8
## 3704 3421 8
## 3666 3422 8
## 3692 3423 8
## 3564 3424 8
## 3708 3425 8
## 3701 3426 8
## 3594 3427 8
## 3560 3428 8
## 3552 3429 8
## 3558 3430 8
## 3591 3431 8
## 3695 3432 8
## 3565 3433 8
## 3346 3434 8
## 3763 3435 8
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## 3354 3437 8
## 3640 3438 8
## 3590 3439 8
## 3356 3440 8
## 3693 3441 8
## 3366 3442 8
## 3651 3443 8
## 3551 3444 8
## 3754 3445 8
## 3416 3446 8
## 3764 3447 8
## 3657 3448 8
## 3345 3449 8
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## 3772 3453 8
## 3641 3454 8
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## 3714 3489 8
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## 3678 3503 8
## 3491 3504 8
## 3783 3505 8
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## 3681 3508 8
## 3455 3509 8
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## 3607 3516 8
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## 3450 3519 8
## 3462 3520 8
## 3713 3521 8
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## 3676 3524 8
## 3779 3525 8
## 3774 3526 8
## 3612 3527 8
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## 3776 3530 8
## 3616 3531 8
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## 3625 3533 8
## 3603 3534 8
## 3629 3535 8
## 3465 3536 8
## 3610 3537 8
## 3506 3538 8
## 3777 3539 8
## 3507 3540 8
## 3510 3541 8
## 3327 3542 8
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## 3307 3545 8
## 3479 3546 8
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## 3501 3548 8
## 3456 3549 8
## 3442 3550 8
## 3382 3551 8
## 3483 3552 8
## 3431 3553 8
## 3604 3554 8
## 3626 3555 8
## 3452 3556 8
## 3497 3557 8
## 3511 3558 8
## 3615 3559 8
## 3443 3560 8
## 3372 3561 8
## 3474 3562 8
## 3461 3563 8
## 3308 3564 8
## 3471 3565 8
## 3718 3566 8
## 3489 3567 8
## 3727 3568 8
## 3628 3569 8
## 3509 3570 8
## 3470 3571 8
## 3436 3572 8
## 3613 3573 8
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## 3480 3576 8
## 3383 3577 8
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## 3618 3580 8
## 3482 3581 8
## 3392 3582 8
## 3619 3583 8
## 3728 3584 8
## 3732 3585 8
## 3447 3586 8
## 3723 3587 8
## 3302 3588 8
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## 3402 3590 8
## 3318 3591 8
## 3502 3592 8
## 3749 3593 8
## 3373 3594 8
## 3493 3595 8
## 3623 3596 8
## 3736 3597 8
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## 3309 3600 8
## 3317 3601 8
## 3609 3602 8
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## 4002 3966 9
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## 3820 3970 9
## 3856 3971 9
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## 4016 3978 9
## 4005 3979 9
## 3918 3980 9
## 3802 3981 9
## 4001 3982 9
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## 3920 3986 9
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## 3842 3988 9
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## 3804 3990 9
## 3874 3991 9
## 3945 3992 9
## 3847 3993 9
## 3835 3994 9
## 3881 3995 9
## 3923 3996 9
## 3891 3997 9
## 3938 3998 9
## 3909 3999 9
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## 3962 4001 9
## 3896 4002 9
## 3972 4003 9
## 3838 4004 9
## 3963 4005 9
## 3965 4006 9
## 3887 4007 9
## 3977 4008 9
## 3953 4009 9
## 3990 4010 9
## 3902 4011 9
## 3884 4012 9
## 3968 4013 9
## 4007 4014 9
## 3983 4015 9
## 3998 4016 9
## 4028 4017 10
## 4033 4018 10
## 4037 4019 10
## 4019 4020 10
## 4029 4021 10
## 4046 4022 10
## 4050 4023 10
## 4021 4024 10
## 4047 4025 10
## 4051 4026 10
## 4034 4027 10
## 4030 4028 10
## 4035 4029 10
## 4022 4030 10
## 4024 4031 10
## 4031 4032 10
## 4048 4033 10
## 4063 4034 10
## 4067 4035 10
## 4036 4036 10
## 4025 4037 10
## 4068 4038 10
## 4049 4039 10
## 4064 4040 10
## 4026 4041 10
## 4065 4042 10
## 4070 4043 10
## 4066 4044 10
## 4040 4045 10
## 4044 4046 10
## 4043 4047 10
## 4039 4048 10
## 4052 4049 10
## 4041 4050 10
## 4073 4051 10
## 4077 4052 10
## 4074 4053 10
## 4078 4054 10
## 4069 4055 10
## 4042 4056 10
## 4075 4057 10
## 4080 4058 10
## 4076 4059 10
## 4082 4060 10
## 4054 4061 10
## 4079 4062 10
## 4058 4063 10
## 4061 4064 10
## 4055 4065 10
## 4059 4066 10
## 4057 4067 10
## 4071 4068 10
## 4060 4069 10
## 4017 4070 10
## 4027 4071 10
## 4056 4072 10
## 4018 4073 10
## 4032 4074 10
## 4045 4075 10
## 4081 4076 10
## 4020 4077 10
## 4062 4078 10
## 4023 4079 10
## 4038 4080 10
## 4053 4081 10
## 4072 4082 10
## 4084 4083 11
## 4088 4084 11
## 4089 4085 11
## 4085 4086 11
## 4091 4087 11
## 4086 4088 11
## 4087 4089 11
## 4093 4090 11
## 4090 4091 11
## 4094 4092 11
## 4092 4093 11
## 4083 4094 11
## 4095 4095 12
## Predictors
## 12 rel
## 6 job_men
## 1 imp_rlg
## 3 ps_arm
## 2 dut_ill
## 4 dut_chl
## 10 men_lead
## 9 ps_lead
## 5 el_fair
## 8 trs_ntn
## 7 el_thr
## 11 el_brb
## 42 ps_arm rel
## 23 imp_rlg rel
## 63 job_men rel
## 33 dut_ill rel
## 75 ps_lead rel
## 57 el_fair rel
## 50 dut_chl rel
## 77 men_lead rel
## 78 el_brb rel
## 68 el_thr rel
## 72 trs_ntn rel
## 14 imp_rlg ps_arm
## 24 dut_ill ps_arm
## 17 imp_rlg job_men
## 36 ps_arm job_men
## 13 imp_rlg dut_ill
## 20 imp_rlg ps_lead
## 27 dut_ill job_men
## 34 ps_arm dut_chl
## 21 imp_rlg men_lead
## 35 ps_arm el_fair
## 51 el_fair job_men
## 16 imp_rlg el_fair
## 60 job_men ps_lead
## 15 imp_rlg dut_chl
## 19 imp_rlg trs_ntn
## 40 ps_arm men_lead
## 38 ps_arm trs_ntn
## 30 dut_ill ps_lead
## 59 job_men trs_ntn
## 26 dut_ill el_fair
## 31 dut_ill men_lead
## 44 dut_chl job_men
## 58 job_men el_thr
## 39 ps_arm ps_lead
## 62 job_men el_brb
## 43 dut_chl el_fair
## 47 dut_chl ps_lead
## 29 dut_ill trs_ntn
## 18 imp_rlg el_thr
## 55 el_fair men_lead
## 25 dut_ill dut_chl
## 61 job_men men_lead
## 22 imp_rlg el_brb
## 73 ps_lead men_lead
## 41 ps_arm el_brb
## 37 ps_arm el_thr
## 48 dut_chl men_lead
## 28 dut_ill el_thr
## 46 dut_chl trs_ntn
## 54 el_fair ps_lead
## 70 trs_ntn men_lead
## 32 dut_ill el_brb
## 69 trs_ntn ps_lead
## 45 dut_chl el_thr
## 49 dut_chl el_brb
## 66 el_thr men_lead
## 76 men_lead el_brb
## 53 el_fair trs_ntn
## 65 el_thr ps_lead
## 74 ps_lead el_brb
## 64 el_thr trs_ntn
## 71 trs_ntn el_brb
## 52 el_fair el_thr
## 56 el_fair el_brb
## 67 el_thr el_brb
## 97 imp_rlg ps_arm rel
## 193 ps_arm el_fair rel
## 142 dut_ill ps_arm rel
## 186 ps_arm dut_chl rel
## 199 ps_arm job_men rel
## 208 ps_arm trs_ntn rel
## 213 ps_arm men_lead rel
## 211 ps_arm ps_lead rel
## 214 ps_arm el_brb rel
## 204 ps_arm el_thr rel
## 130 imp_rlg ps_lead rel
## 88 imp_rlg dut_ill rel
## 118 imp_rlg job_men rel
## 248 el_fair job_men rel
## 112 imp_rlg el_fair rel
## 175 dut_ill ps_lead rel
## 275 job_men ps_lead rel
## 157 dut_ill el_fair rel
## 163 dut_ill job_men rel
## 260 el_fair ps_lead rel
## 132 imp_rlg men_lead rel
## 239 dut_chl ps_lead rel
## 221 dut_chl el_fair rel
## 105 imp_rlg dut_chl rel
## 262 el_fair men_lead rel
## 296 ps_lead men_lead rel
## 177 dut_ill men_lead rel
## 127 imp_rlg trs_ntn rel
## 278 job_men el_brb rel
## 268 job_men el_thr rel
## 123 imp_rlg el_thr rel
## 133 imp_rlg el_brb rel
## 168 dut_ill el_thr rel
## 227 dut_chl job_men rel
## 272 job_men trs_ntn rel
## 178 dut_ill el_brb rel
## 150 dut_ill dut_chl rel
## 172 dut_ill trs_ntn rel
## 297 ps_lead el_brb rel
## 285 el_thr ps_lead rel
## 291 trs_ntn ps_lead rel
## 241 dut_chl men_lead rel
## 277 job_men men_lead rel
## 242 dut_chl el_brb rel
## 232 dut_chl el_thr rel
## 298 men_lead el_brb rel
## 236 dut_chl trs_ntn rel
## 293 trs_ntn men_lead rel
## 287 el_thr men_lead rel
## 257 el_fair trs_ntn rel
## 253 el_fair el_thr rel
## 263 el_fair el_brb rel
## 282 el_thr trs_ntn rel
## 294 trs_ntn el_brb rel
## 79 imp_rlg dut_ill ps_arm
## 90 imp_rlg ps_arm el_fair
## 288 el_thr el_brb rel
## 91 imp_rlg ps_arm job_men
## 93 imp_rlg ps_arm trs_ntn
## 89 imp_rlg ps_arm dut_chl
## 95 imp_rlg ps_arm men_lead
## 135 dut_ill ps_arm el_fair
## 94 imp_rlg ps_arm ps_lead
## 187 ps_arm el_fair job_men
## 106 imp_rlg el_fair job_men
## 136 dut_ill ps_arm job_men
## 85 imp_rlg dut_ill ps_lead
## 115 imp_rlg job_men ps_lead
## 82 imp_rlg dut_ill job_men
## 179 ps_arm dut_chl el_fair
## 81 imp_rlg dut_ill el_fair
## 96 imp_rlg ps_arm el_brb
## 92 imp_rlg ps_arm el_thr
## 138 dut_ill ps_arm trs_ntn
## 114 imp_rlg job_men trs_ntn
## 109 imp_rlg el_fair ps_lead
## 140 dut_ill ps_arm men_lead
## 151 dut_ill el_fair job_men
## 195 ps_arm job_men trs_ntn
## 86 imp_rlg dut_ill men_lead
## 110 imp_rlg el_fair men_lead
## 128 imp_rlg ps_lead men_lead
## 84 imp_rlg dut_ill trs_ntn
## 134 dut_ill ps_arm dut_chl
## 191 ps_arm el_fair men_lead
## 102 imp_rlg dut_chl ps_lead
## 124 imp_rlg trs_ntn ps_lead
## 139 dut_ill ps_arm ps_lead
## 180 ps_arm dut_chl job_men
## 182 ps_arm dut_chl trs_ntn
## 98 imp_rlg dut_chl el_fair
## 160 dut_ill job_men ps_lead
## 113 imp_rlg job_men el_thr
## 125 imp_rlg trs_ntn men_lead
## 137 dut_ill ps_arm el_thr
## 99 imp_rlg dut_chl job_men
## 245 el_fair job_men ps_lead
## 117 imp_rlg job_men el_brb
## 141 dut_ill ps_arm el_brb
## 196 ps_arm job_men ps_lead
## 189 ps_arm el_fair trs_ntn
## 83 imp_rlg dut_ill el_thr
## 198 ps_arm job_men el_brb
## 116 imp_rlg job_men men_lead
## 80 imp_rlg dut_ill dut_chl
## 184 ps_arm dut_chl men_lead
## 159 dut_ill job_men trs_ntn
## 194 ps_arm job_men el_thr
## 101 imp_rlg dut_chl trs_ntn
## 155 dut_ill el_fair men_lead
## 108 imp_rlg el_fair trs_ntn
## 206 ps_arm trs_ntn men_lead
## 215 dut_chl el_fair job_men
## 154 dut_ill el_fair ps_lead
## 103 imp_rlg dut_chl men_lead
## 87 imp_rlg dut_ill el_brb
## 158 dut_ill job_men el_thr
## 183 ps_arm dut_chl ps_lead
## 197 ps_arm job_men men_lead
## 244 el_fair job_men trs_ntn
## 120 imp_rlg el_thr ps_lead
## 173 dut_ill ps_lead men_lead
## 190 ps_arm el_fair ps_lead
## 162 dut_ill job_men el_brb
## 185 ps_arm dut_chl el_brb
## 129 imp_rlg ps_lead el_brb
## 181 ps_arm dut_chl el_thr
## 269 job_men trs_ntn ps_lead
## 224 dut_chl job_men ps_lead
## 121 imp_rlg el_thr men_lead
## 218 dut_chl el_fair ps_lead
## 143 dut_ill dut_chl el_fair
## 246 el_fair job_men men_lead
## 219 dut_chl el_fair men_lead
## 131 imp_rlg men_lead el_brb
## 144 dut_ill dut_chl job_men
## 161 dut_ill job_men men_lead
## 169 dut_ill trs_ntn ps_lead
## 147 dut_ill dut_chl ps_lead
## 209 ps_arm ps_lead men_lead
## 100 imp_rlg dut_chl el_thr
## 170 dut_ill trs_ntn men_lead
## 258 el_fair ps_lead men_lead
## 223 dut_chl job_men trs_ntn
## 265 job_men el_thr ps_lead
## 205 ps_arm trs_ntn ps_lead
## 274 job_men ps_lead el_brb
## 119 imp_rlg el_thr trs_ntn
## 104 imp_rlg dut_chl el_brb
## 153 dut_ill el_fair trs_ntn
## 243 el_fair job_men el_thr
## 212 ps_arm men_lead el_brb
## 202 ps_arm el_thr men_lead
## 264 job_men el_thr trs_ntn
## 126 imp_rlg trs_ntn el_brb
## 273 job_men ps_lead men_lead
## 165 dut_ill el_thr ps_lead
## 237 dut_chl ps_lead men_lead
## 247 el_fair job_men el_brb
## 188 ps_arm el_fair el_thr
## 271 job_men trs_ntn el_brb
## 207 ps_arm trs_ntn el_brb
## 166 dut_ill el_thr men_lead
## 222 dut_chl job_men el_thr
## 200 ps_arm el_thr trs_ntn
## 107 imp_rlg el_fair el_thr
## 148 dut_ill dut_chl men_lead
## 192 ps_arm el_fair el_brb
## 226 dut_chl job_men el_brb
## 233 dut_chl trs_ntn ps_lead
## 217 dut_chl el_fair trs_ntn
## 146 dut_ill dut_chl trs_ntn
## 174 dut_ill ps_lead el_brb
## 176 dut_ill men_lead el_brb
## 255 el_fair trs_ntn men_lead
## 270 job_men trs_ntn men_lead
## 111 imp_rlg el_fair el_brb
## 234 dut_chl trs_ntn men_lead
## 289 trs_ntn ps_lead men_lead
## 145 dut_ill dut_chl el_thr
## 152 dut_ill el_fair el_thr
## 164 dut_ill el_thr trs_ntn
## 225 dut_chl job_men men_lead
## 229 dut_chl el_thr ps_lead
## 210 ps_arm ps_lead el_brb
## 276 job_men men_lead el_brb
## 266 job_men el_thr men_lead
## 238 dut_chl ps_lead el_brb
## 201 ps_arm el_thr ps_lead
## 149 dut_ill dut_chl el_brb
## 156 dut_ill el_fair el_brb
## 230 dut_chl el_thr men_lead
## 171 dut_ill trs_ntn el_brb
## 240 dut_chl men_lead el_brb
## 254 el_fair trs_ntn ps_lead
## 267 job_men el_thr el_brb
## 283 el_thr ps_lead men_lead
## 295 ps_lead men_lead el_brb
## 216 dut_chl el_fair el_thr
## 228 dut_chl el_thr trs_ntn
## 251 el_fair el_thr men_lead
## 235 dut_chl trs_ntn el_brb
## 220 dut_chl el_fair el_brb
## 280 el_thr trs_ntn men_lead
## 122 imp_rlg el_thr el_brb
## 261 el_fair men_lead el_brb
## 292 trs_ntn men_lead el_brb
## 203 ps_arm el_thr el_brb
## 167 dut_ill el_thr el_brb
## 279 el_thr trs_ntn ps_lead
## 250 el_fair el_thr ps_lead
## 290 trs_ntn ps_lead el_brb
## 259 el_fair ps_lead el_brb
## 231 dut_chl el_thr el_brb
## 286 el_thr men_lead el_brb
## 249 el_fair el_thr trs_ntn
## 256 el_fair trs_ntn el_brb
## 284 el_thr ps_lead el_brb
## 281 el_thr trs_ntn el_brb
## 252 el_fair el_thr el_brb
## 358 imp_rlg ps_arm el_fair rel
## 307 imp_rlg dut_ill ps_arm rel
## 478 dut_ill ps_arm el_fair rel
## 373 imp_rlg ps_arm trs_ntn rel
## 590 ps_arm dut_chl el_fair rel
## 351 imp_rlg ps_arm dut_chl rel
## 364 imp_rlg ps_arm job_men rel
## 617 ps_arm el_fair job_men rel
## 376 imp_rlg ps_arm ps_lead rel
## 378 imp_rlg ps_arm men_lead rel
## 379 imp_rlg ps_arm el_brb rel
## 631 ps_arm el_fair men_lead rel
## 369 imp_rlg ps_arm el_thr rel
## 626 ps_arm el_fair trs_ntn rel
## 484 dut_ill ps_arm job_men rel
## 493 dut_ill ps_arm trs_ntn rel
## 629 ps_arm el_fair ps_lead rel
## 496 dut_ill ps_arm ps_lead rel
## 499 dut_ill ps_arm el_brb rel
## 471 dut_ill ps_arm dut_chl rel
## 498 dut_ill ps_arm men_lead rel
## 489 dut_ill ps_arm el_thr rel
## 605 ps_arm dut_chl trs_ntn rel
## 632 ps_arm el_fair el_brb rel
## 622 ps_arm el_fair el_thr rel
## 611 ps_arm dut_chl el_brb rel
## 641 ps_arm job_men trs_ntn rel
## 647 ps_arm job_men el_brb rel
## 596 ps_arm dut_chl job_men rel
## 608 ps_arm dut_chl ps_lead rel
## 601 ps_arm dut_chl el_thr rel
## 644 ps_arm job_men ps_lead rel
## 610 ps_arm dut_chl men_lead rel
## 637 ps_arm job_men el_thr rel
## 662 ps_arm trs_ntn men_lead rel
## 667 ps_arm men_lead el_brb rel
## 663 ps_arm trs_ntn el_brb rel
## 660 ps_arm trs_ntn ps_lead rel
## 665 ps_arm ps_lead men_lead rel
## 646 ps_arm job_men men_lead rel
## 666 ps_arm ps_lead el_brb rel
## 651 ps_arm el_thr trs_ntn rel
## 656 ps_arm el_thr men_lead rel
## 654 ps_arm el_thr ps_lead rel
## 340 imp_rlg dut_ill ps_lead rel
## 425 imp_rlg el_fair ps_lead rel
## 657 ps_arm el_thr el_brb rel
## 413 imp_rlg el_fair job_men rel
## 440 imp_rlg job_men ps_lead rel
## 322 imp_rlg dut_ill el_fair rel
## 545 dut_ill el_fair ps_lead rel
## 735 el_fair job_men ps_lead rel
## 461 imp_rlg ps_lead men_lead rel
## 533 dut_ill el_fair job_men rel
## 427 imp_rlg el_fair men_lead rel
## 404 imp_rlg dut_chl ps_lead rel
## 328 imp_rlg dut_ill job_men rel
## 456 imp_rlg trs_ntn ps_lead rel
## 560 dut_ill job_men ps_lead rel
## 386 imp_rlg dut_chl el_fair rel
## 685 dut_chl el_fair ps_lead rel
## 547 dut_ill el_fair men_lead rel
## 342 imp_rlg dut_ill men_lead rel
## 462 imp_rlg ps_lead el_brb rel
## 450 imp_rlg el_thr ps_lead rel
## 756 el_fair ps_lead men_lead rel
## 337 imp_rlg dut_ill trs_ntn rel
## 437 imp_rlg job_men trs_ntn rel
## 581 dut_ill ps_lead men_lead rel
## 673 dut_chl el_fair job_men rel
## 333 imp_rlg dut_ill el_thr rel
## 443 imp_rlg job_men el_brb rel
## 433 imp_rlg job_men el_thr rel
## 422 imp_rlg el_fair trs_ntn rel
## 343 imp_rlg dut_ill el_brb rel
## 506 dut_ill dut_chl el_fair rel
## 570 dut_ill el_thr ps_lead rel
## 524 dut_ill dut_chl ps_lead rel
## 777 job_men ps_lead el_brb rel
## 687 dut_chl el_fair men_lead rel
## 553 dut_ill job_men el_thr rel
## 582 dut_ill ps_lead el_brb rel
## 315 imp_rlg dut_ill dut_chl rel
## 700 dut_chl job_men ps_lead rel
## 732 el_fair job_men trs_ntn rel
## 563 dut_ill job_men el_brb rel
## 765 job_men el_thr ps_lead rel
## 392 imp_rlg dut_chl job_men rel
## 576 dut_ill trs_ntn ps_lead rel
## 458 imp_rlg trs_ntn men_lead rel
## 771 job_men trs_ntn ps_lead rel
## 737 el_fair job_men men_lead rel
## 442 imp_rlg job_men men_lead rel
## 557 dut_ill job_men trs_ntn rel
## 406 imp_rlg dut_chl men_lead rel
## 728 el_fair job_men el_thr rel
## 401 imp_rlg dut_chl trs_ntn rel
## 542 dut_ill el_fair trs_ntn rel
## 463 imp_rlg men_lead el_brb rel
## 721 dut_chl ps_lead men_lead rel
## 452 imp_rlg el_thr men_lead rel
## 738 el_fair job_men el_brb rel
## 418 imp_rlg el_fair el_thr rel
## 300 imp_rlg dut_ill ps_arm el_fair
## 722 dut_chl ps_lead el_brb rel
## 397 imp_rlg dut_chl el_thr rel
## 710 dut_chl el_thr ps_lead rel
## 776 job_men ps_lead men_lead rel
## 407 imp_rlg dut_chl el_brb rel
## 538 dut_ill el_fair el_thr rel
## 716 dut_chl trs_ntn ps_lead rel
## 428 imp_rlg el_fair el_brb rel
## 751 el_fair trs_ntn ps_lead rel
## 572 dut_ill el_thr men_lead rel
## 682 dut_chl el_fair trs_ntn rel
## 512 dut_ill dut_chl job_men rel
## 562 dut_ill job_men men_lead rel
## 583 dut_ill men_lead el_brb rel
## 793 ps_lead men_lead el_brb rel
## 753 el_fair trs_ntn men_lead rel
## 703 dut_chl job_men el_brb rel
## 548 dut_ill el_fair el_brb rel
## 790 trs_ntn ps_lead men_lead rel
## 447 imp_rlg el_thr trs_ntn rel
## 578 dut_ill trs_ntn men_lead rel
## 693 dut_chl job_men el_thr rel
## 786 el_thr ps_lead men_lead rel
## 459 imp_rlg trs_ntn el_brb rel
## 745 el_fair el_thr ps_lead rel
## 774 job_men trs_ntn el_brb rel
## 517 dut_ill dut_chl el_thr rel
## 678 dut_chl el_fair el_thr rel
## 762 job_men el_thr trs_ntn rel
## 526 dut_ill dut_chl men_lead rel
## 757 el_fair ps_lead el_brb rel
## 697 dut_chl job_men trs_ntn rel
## 527 dut_ill dut_chl el_brb rel
## 352 imp_rlg ps_arm el_fair job_men
## 567 dut_ill el_thr trs_ntn rel
## 688 dut_chl el_fair el_brb rel
## 747 el_fair el_thr men_lead rel
## 521 dut_ill dut_chl trs_ntn rel
## 723 dut_chl men_lead el_brb rel
## 758 el_fair men_lead el_brb rel
## 778 job_men men_lead el_brb rel
## 579 dut_ill trs_ntn el_brb rel
## 712 dut_chl el_thr men_lead rel
## 768 job_men el_thr el_brb rel
## 303 imp_rlg dut_ill ps_arm trs_ntn
## 767 job_men el_thr men_lead rel
## 718 dut_chl trs_ntn men_lead rel
## 773 job_men trs_ntn men_lead rel
## 791 trs_ntn ps_lead el_brb rel
## 781 el_thr trs_ntn ps_lead rel
## 344 imp_rlg ps_arm dut_chl el_fair
## 702 dut_chl job_men men_lead rel
## 453 imp_rlg el_thr el_brb rel
## 707 dut_chl el_thr trs_ntn rel
## 573 dut_ill el_thr el_brb rel
## 719 dut_chl trs_ntn el_brb rel
## 354 imp_rlg ps_arm el_fair trs_ntn
## 356 imp_rlg ps_arm el_fair men_lead
## 792 trs_ntn men_lead el_brb rel
## 783 el_thr trs_ntn men_lead rel
## 301 imp_rlg dut_ill ps_arm job_men
## 787 el_thr ps_lead el_brb rel
## 360 imp_rlg ps_arm job_men trs_ntn
## 713 dut_chl el_thr el_brb rel
## 304 imp_rlg dut_ill ps_arm ps_lead
## 305 imp_rlg dut_ill ps_arm men_lead
## 788 el_thr men_lead el_brb rel
## 742 el_fair el_thr trs_ntn rel
## 355 imp_rlg ps_arm el_fair ps_lead
## 347 imp_rlg ps_arm dut_chl trs_ntn
## 754 el_fair trs_ntn el_brb rel
## 371 imp_rlg ps_arm trs_ntn men_lead
## 472 dut_ill ps_arm el_fair job_men
## 299 imp_rlg dut_ill ps_arm dut_chl
## 302 imp_rlg dut_ill ps_arm el_thr
## 306 imp_rlg dut_ill ps_arm el_brb
## 748 el_fair el_thr el_brb rel
## 361 imp_rlg ps_arm job_men ps_lead
## 370 imp_rlg ps_arm trs_ntn ps_lead
## 784 el_thr trs_ntn el_brb rel
## 316 imp_rlg dut_ill el_fair job_men
## 410 imp_rlg el_fair job_men ps_lead
## 319 imp_rlg dut_ill el_fair ps_lead
## 345 imp_rlg ps_arm dut_chl job_men
## 476 dut_ill ps_arm el_fair men_lead
## 348 imp_rlg ps_arm dut_chl ps_lead
## 363 imp_rlg ps_arm job_men el_brb
## 325 imp_rlg dut_ill job_men ps_lead
## 359 imp_rlg ps_arm job_men el_thr
## 464 dut_ill ps_arm dut_chl el_fair
## 349 imp_rlg ps_arm dut_chl men_lead
## 374 imp_rlg ps_arm ps_lead men_lead
## 474 dut_ill ps_arm el_fair trs_ntn
## 353 imp_rlg ps_arm el_fair el_thr
## 365 imp_rlg ps_arm el_thr trs_ntn
## 372 imp_rlg ps_arm trs_ntn el_brb
## 362 imp_rlg ps_arm job_men men_lead
## 584 ps_arm dut_chl el_fair job_men
## 320 imp_rlg dut_ill el_fair men_lead
## 357 imp_rlg ps_arm el_fair el_brb
## 613 ps_arm el_fair job_men trs_ntn
## 480 dut_ill ps_arm job_men trs_ntn
## 409 imp_rlg el_fair job_men trs_ntn
## 423 imp_rlg el_fair ps_lead men_lead
## 334 imp_rlg dut_ill trs_ntn ps_lead
## 434 imp_rlg job_men trs_ntn ps_lead
## 338 imp_rlg dut_ill ps_lead men_lead
## 350 imp_rlg ps_arm dut_chl el_brb
## 346 imp_rlg ps_arm dut_chl el_thr
## 324 imp_rlg dut_ill job_men trs_ntn
## 475 dut_ill ps_arm el_fair ps_lead
## 586 ps_arm dut_chl el_fair trs_ntn
## 383 imp_rlg dut_chl el_fair ps_lead
## 588 ps_arm dut_chl el_fair men_lead
## 377 imp_rlg ps_arm men_lead el_brb
## 367 imp_rlg ps_arm el_thr men_lead
## 318 imp_rlg dut_ill el_fair trs_ntn
## 380 imp_rlg dut_chl el_fair job_men
## 614 ps_arm el_fair job_men ps_lead
## 530 dut_ill el_fair job_men ps_lead
## 481 dut_ill ps_arm job_men ps_lead
## 491 dut_ill ps_arm trs_ntn men_lead
## 335 imp_rlg dut_ill trs_ntn men_lead
## 375 imp_rlg ps_arm ps_lead el_brb
## 411 imp_rlg el_fair job_men men_lead
## 479 dut_ill ps_arm job_men el_thr
## 366 imp_rlg ps_arm el_thr ps_lead
## 454 imp_rlg trs_ntn ps_lead men_lead
## 323 imp_rlg dut_ill job_men el_thr
## 483 dut_ill ps_arm job_men el_brb
## 467 dut_ill ps_arm dut_chl trs_ntn
## 312 imp_rlg dut_ill dut_chl ps_lead
## 420 imp_rlg el_fair trs_ntn men_lead
## 419 imp_rlg el_fair trs_ntn ps_lead
## 615 ps_arm el_fair job_men men_lead
## 308 imp_rlg dut_ill dut_chl el_fair
## 330 imp_rlg dut_ill el_thr ps_lead
## 389 imp_rlg dut_chl job_men ps_lead
## 384 imp_rlg dut_chl el_fair men_lead
## 587 ps_arm dut_chl el_fair ps_lead
## 430 imp_rlg job_men el_thr ps_lead
## 398 imp_rlg dut_chl trs_ntn ps_lead
## 624 ps_arm el_fair trs_ntn men_lead
## 439 imp_rlg job_men ps_lead el_brb
## 465 dut_ill ps_arm dut_chl job_men
## 327 imp_rlg dut_ill job_men el_brb
## 473 dut_ill ps_arm el_fair el_thr
## 592 ps_arm dut_chl job_men trs_ntn
## 339 imp_rlg dut_ill ps_lead el_brb
## 438 imp_rlg job_men ps_lead men_lead
## 490 dut_ill ps_arm trs_ntn ps_lead
## 477 dut_ill ps_arm el_fair el_brb
## 382 imp_rlg dut_chl el_fair trs_ntn
## 408 imp_rlg el_fair job_men el_thr
## 402 imp_rlg dut_chl ps_lead men_lead
## 482 dut_ill ps_arm job_men men_lead
## 326 imp_rlg dut_ill job_men men_lead
## 529 dut_ill el_fair job_men trs_ntn
## 612 ps_arm el_fair job_men el_thr
## 429 imp_rlg job_men el_thr trs_ntn
## 388 imp_rlg dut_chl job_men trs_ntn
## 616 ps_arm el_fair job_men el_brb
## 485 dut_ill ps_arm el_thr trs_ntn
## 494 dut_ill ps_arm ps_lead men_lead
## 436 imp_rlg job_men trs_ntn el_brb
## 412 imp_rlg el_fair job_men el_brb
## 469 dut_ill ps_arm dut_chl men_lead
## 543 dut_ill el_fair ps_lead men_lead
## 309 imp_rlg dut_ill dut_chl job_men
## 603 ps_arm dut_chl trs_ntn men_lead
## 468 dut_ill ps_arm dut_chl ps_lead
## 492 dut_ill ps_arm trs_ntn el_brb
## 331 imp_rlg dut_ill el_thr men_lead
## 435 imp_rlg job_men trs_ntn men_lead
## 329 imp_rlg dut_ill el_thr trs_ntn
## 311 imp_rlg dut_ill dut_chl trs_ntn
## 638 ps_arm job_men trs_ntn ps_lead
## 640 ps_arm job_men trs_ntn el_brb
## 317 imp_rlg dut_ill el_fair el_thr
## 627 ps_arm el_fair ps_lead men_lead
## 670 dut_chl el_fair job_men ps_lead
## 487 dut_ill ps_arm el_thr men_lead
## 497 dut_ill ps_arm men_lead el_brb
## 554 dut_ill job_men trs_ntn ps_lead
## 633 ps_arm job_men el_thr trs_ntn
## 466 dut_ill ps_arm dut_chl el_thr
## 399 imp_rlg dut_chl trs_ntn men_lead
## 585 ps_arm dut_chl el_fair el_thr
## 500 dut_ill dut_chl el_fair job_men
## 341 imp_rlg dut_ill men_lead el_brb
## 531 dut_ill el_fair job_men men_lead
## 470 dut_ill ps_arm dut_chl el_brb
## 589 ps_arm dut_chl el_fair el_brb
## 448 imp_rlg el_thr ps_lead men_lead
## 595 ps_arm dut_chl job_men el_brb
## 368 imp_rlg ps_arm el_thr el_brb
## 313 imp_rlg dut_ill dut_chl men_lead
## 593 ps_arm dut_chl job_men ps_lead
## 460 imp_rlg ps_lead men_lead el_brb
## 602 ps_arm dut_chl trs_ntn ps_lead
## 394 imp_rlg dut_chl el_thr ps_lead
## 639 ps_arm job_men trs_ntn men_lead
## 336 imp_rlg dut_ill trs_ntn el_brb
## 321 imp_rlg dut_ill el_fair el_brb
## 729 el_fair job_men trs_ntn ps_lead
## 528 dut_ill el_fair job_men el_thr
## 591 ps_arm dut_chl job_men el_thr
## 550 dut_ill job_men el_thr ps_lead
## 503 dut_ill dut_chl el_fair ps_lead
## 604 ps_arm dut_chl trs_ntn el_brb
## 597 ps_arm dut_chl el_thr trs_ntn
## 403 imp_rlg dut_chl ps_lead el_brb
## 387 imp_rlg dut_chl job_men el_thr
## 444 imp_rlg el_thr trs_ntn ps_lead
## 486 dut_ill ps_arm el_thr ps_lead
## 559 dut_ill job_men ps_lead el_brb
## 391 imp_rlg dut_chl job_men el_brb
## 415 imp_rlg el_fair el_thr ps_lead
## 495 dut_ill ps_arm ps_lead el_brb
## 540 dut_ill el_fair trs_ntn men_lead
## 683 dut_chl el_fair ps_lead men_lead
## 669 dut_chl el_fair job_men trs_ntn
## 416 imp_rlg el_fair el_thr men_lead
## 445 imp_rlg el_thr trs_ntn men_lead
## 455 imp_rlg trs_ntn ps_lead el_brb
## 532 dut_ill el_fair job_men el_brb
## 504 dut_ill dut_chl el_fair men_lead
## 310 imp_rlg dut_ill dut_chl el_thr
## 623 ps_arm el_fair trs_ntn ps_lead
## 549 dut_ill job_men el_thr trs_ntn
## 509 dut_ill dut_chl job_men ps_lead
## 457 imp_rlg trs_ntn men_lead el_brb
## 733 el_fair job_men ps_lead men_lead
## 424 imp_rlg el_fair ps_lead el_brb
## 606 ps_arm dut_chl ps_lead men_lead
## 643 ps_arm job_men ps_lead el_brb
## 426 imp_rlg el_fair men_lead el_brb
## 539 dut_ill el_fair trs_ntn ps_lead
## 431 imp_rlg job_men el_thr men_lead
## 393 imp_rlg dut_chl el_thr trs_ntn
## 594 ps_arm dut_chl job_men men_lead
## 558 dut_ill job_men ps_lead men_lead
## 441 imp_rlg job_men men_lead el_brb
## 620 ps_arm el_fair el_thr men_lead
## 609 ps_arm dut_chl men_lead el_brb
## 574 dut_ill trs_ntn ps_lead men_lead
## 634 ps_arm job_men el_thr ps_lead
## 381 imp_rlg dut_chl el_fair el_thr
## 630 ps_arm el_fair men_lead el_brb
## 390 imp_rlg dut_chl job_men men_lead
## 556 dut_ill job_men trs_ntn el_brb
## 658 ps_arm trs_ntn ps_lead men_lead
## 314 imp_rlg dut_ill dut_chl el_brb
## 599 ps_arm dut_chl el_thr men_lead
## 395 imp_rlg dut_chl el_thr men_lead
## 400 imp_rlg dut_chl trs_ntn el_brb
## 694 dut_chl job_men trs_ntn ps_lead
## 432 imp_rlg job_men el_thr el_brb
## 405 imp_rlg dut_chl men_lead el_brb
## 642 ps_arm job_men ps_lead men_lead
## 661 ps_arm trs_ntn men_lead el_brb
## 680 dut_chl el_fair trs_ntn men_lead
## 645 ps_arm job_men men_lead el_brb
## 671 dut_chl el_fair job_men men_lead
## 385 imp_rlg dut_chl el_fair el_brb
## 725 el_fair job_men el_thr ps_lead
## 508 dut_ill dut_chl job_men trs_ntn
## 679 dut_chl el_fair trs_ntn ps_lead
## 649 ps_arm el_thr trs_ntn men_lead
## 555 dut_ill job_men trs_ntn men_lead
## 502 dut_ill dut_chl el_fair trs_ntn
## 730 el_fair job_men trs_ntn men_lead
## 488 dut_ill ps_arm el_thr el_brb
## 607 ps_arm dut_chl ps_lead el_brb
## 522 dut_ill dut_chl ps_lead men_lead
## 598 ps_arm dut_chl el_thr ps_lead
## 518 dut_ill dut_chl trs_ntn ps_lead
## 635 ps_arm job_men el_thr men_lead
## 734 el_fair job_men ps_lead el_brb
## 568 dut_ill el_thr ps_lead men_lead
## 507 dut_ill dut_chl job_men el_thr
## 668 dut_chl el_fair job_men el_thr
## 636 ps_arm job_men el_thr el_brb
## 536 dut_ill el_fair el_thr men_lead
## 759 job_men el_thr trs_ntn ps_lead
## 690 dut_chl job_men el_thr ps_lead
## 618 ps_arm el_fair el_thr trs_ntn
## 749 el_fair trs_ntn ps_lead men_lead
## 332 imp_rlg dut_ill el_thr el_brb
## 414 imp_rlg el_fair el_thr trs_ntn
## 699 dut_chl job_men ps_lead el_brb
## 580 dut_ill ps_lead men_lead el_brb
## 770 job_men trs_ntn ps_lead el_brb
## 551 dut_ill job_men el_thr men_lead
## 535 dut_ill el_fair el_thr ps_lead
## 625 ps_arm el_fair trs_ntn el_brb
## 511 dut_ill dut_chl job_men el_brb
## 714 dut_chl trs_ntn ps_lead men_lead
## 672 dut_chl el_fair job_men el_brb
## 724 el_fair job_men el_thr trs_ntn
## 689 dut_chl job_men el_thr trs_ntn
## 514 dut_ill dut_chl el_thr ps_lead
## 561 dut_ill job_men men_lead el_brb
## 546 dut_ill el_fair men_lead el_brb
## 769 job_men trs_ntn ps_lead men_lead
## 552 dut_ill job_men el_thr el_brb
## 519 dut_ill dut_chl trs_ntn men_lead
## 565 dut_ill el_thr trs_ntn men_lead
## 421 imp_rlg el_fair trs_ntn el_brb
## 564 dut_ill el_thr trs_ntn ps_lead
## 696 dut_chl job_men trs_ntn el_brb
## 544 dut_ill el_fair ps_lead el_brb
## 731 el_fair job_men trs_ntn el_brb
## 523 dut_ill dut_chl ps_lead el_brb
## 698 dut_chl job_men ps_lead men_lead
## 664 ps_arm ps_lead men_lead el_brb
## 600 ps_arm dut_chl el_thr el_brb
## 577 dut_ill trs_ntn men_lead el_brb
## 501 dut_ill dut_chl el_fair el_thr
## 449 imp_rlg el_thr ps_lead el_brb
## 619 ps_arm el_fair el_thr ps_lead
## 575 dut_ill trs_ntn ps_lead el_brb
## 652 ps_arm el_thr ps_lead men_lead
## 510 dut_ill dut_chl job_men men_lead
## 515 dut_ill dut_chl el_thr men_lead
## 675 dut_chl el_fair el_thr ps_lead
## 676 dut_chl el_fair el_thr men_lead
## 726 el_fair job_men el_thr men_lead
## 628 ps_arm el_fair ps_lead el_brb
## 513 dut_ill dut_chl el_thr trs_ntn
## 695 dut_chl job_men trs_ntn men_lead
## 708 dut_chl el_thr ps_lead men_lead
## 659 ps_arm trs_ntn ps_lead el_brb
## 451 imp_rlg el_thr men_lead el_brb
## 648 ps_arm el_thr trs_ntn ps_lead
## 775 job_men ps_lead men_lead el_brb
## 720 dut_chl ps_lead men_lead el_brb
## 763 job_men el_thr ps_lead men_lead
## 525 dut_ill dut_chl men_lead el_brb
## 736 el_fair job_men men_lead el_brb
## 704 dut_chl el_thr trs_ntn ps_lead
## 686 dut_chl el_fair men_lead el_brb
## 505 dut_ill dut_chl el_fair el_brb
## 684 dut_chl el_fair ps_lead el_brb
## 534 dut_ill el_fair el_thr trs_ntn
## 396 imp_rlg dut_chl el_thr el_brb
## 760 job_men el_thr trs_ntn men_lead
## 705 dut_chl el_thr trs_ntn men_lead
## 772 job_men trs_ntn men_lead el_brb
## 764 job_men el_thr ps_lead el_brb
## 715 dut_chl trs_ntn ps_lead el_brb
## 743 el_fair el_thr ps_lead men_lead
## 520 dut_ill dut_chl trs_ntn el_brb
## 717 dut_chl trs_ntn men_lead el_brb
## 755 el_fair ps_lead men_lead el_brb
## 691 dut_chl job_men el_thr men_lead
## 701 dut_chl job_men men_lead el_brb
## 446 imp_rlg el_thr trs_ntn el_brb
## 655 ps_arm el_thr men_lead el_brb
## 761 job_men el_thr trs_ntn el_brb
## 692 dut_chl job_men el_thr el_brb
## 779 el_thr trs_ntn ps_lead men_lead
## 541 dut_ill el_fair trs_ntn el_brb
## 674 dut_chl el_fair el_thr trs_ntn
## 789 trs_ntn ps_lead men_lead el_brb
## 727 el_fair job_men el_thr el_brb
## 571 dut_ill el_thr men_lead el_brb
## 569 dut_ill el_thr ps_lead el_brb
## 650 ps_arm el_thr trs_ntn el_brb
## 740 el_fair el_thr trs_ntn men_lead
## 681 dut_chl el_fair trs_ntn el_brb
## 621 ps_arm el_fair el_thr el_brb
## 752 el_fair trs_ntn men_lead el_brb
## 417 imp_rlg el_fair el_thr el_brb
## 516 dut_ill dut_chl el_thr el_brb
## 766 job_men el_thr men_lead el_brb
## 709 dut_chl el_thr ps_lead el_brb
## 566 dut_ill el_thr trs_ntn el_brb
## 711 dut_chl el_thr men_lead el_brb
## 653 ps_arm el_thr ps_lead el_brb
## 537 dut_ill el_fair el_thr el_brb
## 739 el_fair el_thr trs_ntn ps_lead
## 785 el_thr ps_lead men_lead el_brb
## 706 dut_chl el_thr trs_ntn el_brb
## 750 el_fair trs_ntn ps_lead el_brb
## 677 dut_chl el_fair el_thr el_brb
## 782 el_thr trs_ntn men_lead el_brb
## 746 el_fair el_thr men_lead el_brb
## 780 el_thr trs_ntn ps_lead el_brb
## 744 el_fair el_thr ps_lead el_brb
## 741 el_fair el_thr trs_ntn el_brb
## 808 imp_rlg dut_ill ps_arm el_fair rel
## 920 imp_rlg ps_arm dut_chl el_fair rel
## 947 imp_rlg ps_arm el_fair job_men rel
## 956 imp_rlg ps_arm el_fair trs_ntn rel
## 961 imp_rlg ps_arm el_fair men_lead rel
## 959 imp_rlg ps_arm el_fair ps_lead rel
## 823 imp_rlg dut_ill ps_arm trs_ntn rel
## 1157 dut_ill ps_arm el_fair job_men rel
## 826 imp_rlg dut_ill ps_arm ps_lead rel
## 1130 dut_ill ps_arm dut_chl el_fair rel
## 952 imp_rlg ps_arm el_fair el_thr rel
## 1171 dut_ill ps_arm el_fair men_lead rel
## 814 imp_rlg dut_ill ps_arm job_men rel
## 962 imp_rlg ps_arm el_fair el_brb rel
## 829 imp_rlg dut_ill ps_arm el_brb rel
## 1166 dut_ill ps_arm el_fair trs_ntn rel
## 819 imp_rlg dut_ill ps_arm el_thr rel
## 828 imp_rlg dut_ill ps_arm men_lead rel
## 1169 dut_ill ps_arm el_fair ps_lead rel
## 801 imp_rlg dut_ill ps_arm dut_chl rel
## 935 imp_rlg ps_arm dut_chl trs_ntn rel
## 971 imp_rlg ps_arm job_men trs_ntn rel
## 990 imp_rlg ps_arm trs_ntn ps_lead rel
## 1339 ps_arm dut_chl el_fair job_men rel
## 1348 ps_arm dut_chl el_fair trs_ntn rel
## 992 imp_rlg ps_arm trs_ntn men_lead rel
## 1353 ps_arm dut_chl el_fair men_lead rel
## 938 imp_rlg ps_arm dut_chl ps_lead rel
## 1351 ps_arm dut_chl el_fair ps_lead rel
## 974 imp_rlg ps_arm job_men ps_lead rel
## 993 imp_rlg ps_arm trs_ntn el_brb rel
## 1162 dut_ill ps_arm el_fair el_thr rel
## 941 imp_rlg ps_arm dut_chl el_brb rel
## 977 imp_rlg ps_arm job_men el_brb rel
## 1398 ps_arm el_fair job_men trs_ntn rel
## 1172 dut_ill ps_arm el_fair el_brb rel
## 981 imp_rlg ps_arm el_thr trs_ntn rel
## 995 imp_rlg ps_arm ps_lead men_lead rel
## 1401 ps_arm el_fair job_men ps_lead rel
## 926 imp_rlg ps_arm dut_chl job_men rel
## 931 imp_rlg ps_arm dut_chl el_thr rel
## 967 imp_rlg ps_arm job_men el_thr rel
## 940 imp_rlg ps_arm dut_chl men_lead rel
## 996 imp_rlg ps_arm ps_lead el_brb rel
## 997 imp_rlg ps_arm men_lead el_brb rel
## 1419 ps_arm el_fair trs_ntn men_lead rel
## 984 imp_rlg ps_arm el_thr ps_lead rel
## 1344 ps_arm dut_chl el_fair el_thr rel
## 1403 ps_arm el_fair job_men men_lead rel
## 1354 ps_arm dut_chl el_fair el_brb rel
## 1422 ps_arm el_fair ps_lead men_lead rel
## 986 imp_rlg ps_arm el_thr men_lead rel
## 976 imp_rlg ps_arm job_men men_lead rel
## 1404 ps_arm el_fair job_men el_brb rel
## 1394 ps_arm el_fair job_men el_thr rel
## 1181 dut_ill ps_arm job_men trs_ntn rel
## 1187 dut_ill ps_arm job_men el_brb rel
## 1145 dut_ill ps_arm dut_chl trs_ntn rel
## 1417 ps_arm el_fair trs_ntn ps_lead rel
## 1177 dut_ill ps_arm job_men el_thr rel
## 1184 dut_ill ps_arm job_men ps_lead rel
## 1203 dut_ill ps_arm trs_ntn el_brb rel
## 1202 dut_ill ps_arm trs_ntn men_lead rel
## 1200 dut_ill ps_arm trs_ntn ps_lead rel
## 1151 dut_ill ps_arm dut_chl el_brb rel
## 1191 dut_ill ps_arm el_thr trs_ntn rel
## 987 imp_rlg ps_arm el_thr el_brb rel
## 1148 dut_ill ps_arm dut_chl ps_lead rel
## 1207 dut_ill ps_arm men_lead el_brb rel
## 1206 dut_ill ps_arm ps_lead el_brb rel
## 1141 dut_ill ps_arm dut_chl el_thr rel
## 1424 ps_arm el_fair men_lead el_brb rel
## 1413 ps_arm el_fair el_thr men_lead rel
## 1205 dut_ill ps_arm ps_lead men_lead rel
## 1136 dut_ill ps_arm dut_chl job_men rel
## 1194 dut_ill ps_arm el_thr ps_lead rel
## 1196 dut_ill ps_arm el_thr men_lead rel
## 1385 ps_arm dut_chl trs_ntn el_brb rel
## 1150 dut_ill ps_arm dut_chl men_lead rel
## 1363 ps_arm dut_chl job_men trs_ntn rel
## 1186 dut_ill ps_arm job_men men_lead rel
## 1369 ps_arm dut_chl job_men el_brb rel
## 1408 ps_arm el_fair el_thr trs_ntn rel
## 1440 ps_arm job_men trs_ntn el_brb rel
## 1420 ps_arm el_fair trs_ntn el_brb rel
## 1382 ps_arm dut_chl trs_ntn ps_lead rel
## 875 imp_rlg dut_ill el_fair ps_lead rel
## 1373 ps_arm dut_chl el_thr trs_ntn rel
## 1384 ps_arm dut_chl trs_ntn men_lead rel
## 1423 ps_arm el_fair ps_lead el_brb rel
## 1411 ps_arm el_fair el_thr ps_lead rel
## 1388 ps_arm dut_chl ps_lead el_brb rel
## 1197 dut_ill ps_arm el_thr el_brb rel
## 1389 ps_arm dut_chl men_lead el_brb rel
## 1437 ps_arm job_men trs_ntn ps_lead rel
## 1428 ps_arm job_men el_thr trs_ntn rel
## 1065 imp_rlg el_fair job_men ps_lead rel
## 1366 ps_arm dut_chl job_men ps_lead rel
## 1359 ps_arm dut_chl job_men el_thr rel
## 1443 ps_arm job_men ps_lead el_brb rel
## 1376 ps_arm dut_chl el_thr ps_lead rel
## 1387 ps_arm dut_chl ps_lead men_lead rel
## 1378 ps_arm dut_chl el_thr men_lead rel
## 1458 ps_arm trs_ntn men_lead el_brb rel
## 1431 ps_arm job_men el_thr ps_lead rel
## 1086 imp_rlg el_fair ps_lead men_lead rel
## 1439 ps_arm job_men trs_ntn men_lead rel
## 1456 ps_arm trs_ntn ps_lead men_lead rel
## 1379 ps_arm dut_chl el_thr el_brb rel
## 1444 ps_arm job_men men_lead el_brb rel
## 1015 imp_rlg dut_chl el_fair ps_lead rel
## 863 imp_rlg dut_ill el_fair job_men rel
## 1434 ps_arm job_men el_thr el_brb rel
## 1449 ps_arm el_thr trs_ntn men_lead rel
## 1368 ps_arm dut_chl job_men men_lead rel
## 1459 ps_arm ps_lead men_lead el_brb rel
## 1414 ps_arm el_fair el_thr el_brb rel
## 1457 ps_arm trs_ntn ps_lead el_brb rel
## 890 imp_rlg dut_ill job_men ps_lead rel
## 1442 ps_arm job_men ps_lead men_lead rel
## 1433 ps_arm job_men el_thr men_lead rel
## 1275 dut_ill el_fair job_men ps_lead rel
## 877 imp_rlg dut_ill el_fair men_lead rel
## 1447 ps_arm el_thr trs_ntn ps_lead rel
## 1452 ps_arm el_thr ps_lead men_lead rel
## 911 imp_rlg dut_ill ps_lead men_lead rel
## 906 imp_rlg dut_ill trs_ntn ps_lead rel
## 1081 imp_rlg el_fair trs_ntn ps_lead rel
## 1454 ps_arm el_thr men_lead el_brb rel
## 900 imp_rlg dut_ill el_thr ps_lead rel
## 1450 ps_arm el_thr trs_ntn el_brb rel
## 1296 dut_ill el_fair ps_lead men_lead rel
## 1101 imp_rlg job_men trs_ntn ps_lead rel
## 912 imp_rlg dut_ill ps_lead el_brb rel
## 1062 imp_rlg el_fair job_men trs_ntn rel
## 854 imp_rlg dut_ill dut_chl ps_lead rel
## 1453 ps_arm el_thr ps_lead el_brb rel
## 872 imp_rlg dut_ill el_fair trs_ntn rel
## 1107 imp_rlg job_men ps_lead el_brb rel
## 1003 imp_rlg dut_chl el_fair job_men rel
## 1095 imp_rlg job_men el_thr ps_lead rel
## 836 imp_rlg dut_ill dut_chl el_fair rel
## 1225 dut_ill dut_chl el_fair ps_lead rel
## 1471 dut_chl el_fair job_men ps_lead rel
## 1017 imp_rlg dut_chl el_fair men_lead rel
## 1030 imp_rlg dut_chl job_men ps_lead rel
## 1067 imp_rlg el_fair job_men men_lead rel
## 1120 imp_rlg trs_ntn ps_lead men_lead rel
## 1046 imp_rlg dut_chl trs_ntn ps_lead rel
## 1075 imp_rlg el_fair el_thr ps_lead rel
## 1083 imp_rlg el_fair trs_ntn men_lead rel
## 1051 imp_rlg dut_chl ps_lead men_lead rel
## 1492 dut_chl el_fair ps_lead men_lead rel
## 1087 imp_rlg el_fair ps_lead el_brb rel
## 883 imp_rlg dut_ill job_men el_thr rel
## 1106 imp_rlg job_men ps_lead men_lead rel
## 887 imp_rlg dut_ill job_men trs_ntn rel
## 1058 imp_rlg el_fair job_men el_thr rel
## 868 imp_rlg dut_ill el_fair el_thr rel
## 1123 imp_rlg ps_lead men_lead el_brb rel
## 1040 imp_rlg dut_chl el_thr ps_lead rel
## 893 imp_rlg dut_ill job_men el_brb rel
## 1052 imp_rlg dut_chl ps_lead el_brb rel
## 1116 imp_rlg el_thr ps_lead men_lead rel
## 1542 el_fair job_men trs_ntn ps_lead rel
## 1012 imp_rlg dut_chl el_fair trs_ntn rel
## 1068 imp_rlg el_fair job_men el_brb rel
## 1272 dut_ill el_fair job_men trs_ntn rel
## 1291 dut_ill el_fair trs_ntn ps_lead rel
## 1305 dut_ill job_men el_thr ps_lead rel
## 1317 dut_ill job_men ps_lead el_brb rel
## 1547 el_fair job_men ps_lead men_lead rel
## 1213 dut_ill dut_chl el_fair job_men rel
## 878 imp_rlg dut_ill el_fair el_brb rel
## 908 imp_rlg dut_ill trs_ntn men_lead rel
## 1277 dut_ill el_fair job_men men_lead rel
## 1268 dut_ill el_fair job_men el_thr rel
## 804 imp_rlg dut_ill ps_arm el_fair trs_ntn
## 802 imp_rlg dut_ill ps_arm el_fair job_men
## 1311 dut_ill job_men trs_ntn ps_lead rel
## 1285 dut_ill el_fair el_thr ps_lead rel
## 1111 imp_rlg el_thr trs_ntn ps_lead rel
## 1536 el_fair job_men el_thr ps_lead rel
## 902 imp_rlg dut_ill el_thr men_lead rel
## 1121 imp_rlg trs_ntn ps_lead el_brb rel
## 1548 el_fair job_men ps_lead el_brb rel
## 1487 dut_chl el_fair trs_ntn ps_lead rel
## 913 imp_rlg dut_ill men_lead el_brb rel
## 1227 dut_ill dut_chl el_fair men_lead rel
## 1278 dut_ill el_fair job_men el_brb rel
## 1077 imp_rlg el_fair el_thr men_lead rel
## 897 imp_rlg dut_ill el_thr trs_ntn rel
## 1297 dut_ill el_fair ps_lead el_brb rel
## 1092 imp_rlg job_men el_thr trs_ntn rel
## 1104 imp_rlg job_men trs_ntn el_brb rel
## 892 imp_rlg dut_ill job_men men_lead rel
## 1293 dut_ill el_fair trs_ntn men_lead rel
## 1088 imp_rlg el_fair men_lead el_brb rel
## 1008 imp_rlg dut_chl el_fair el_thr rel
## 1240 dut_ill dut_chl job_men ps_lead rel
## 806 imp_rlg dut_ill ps_arm el_fair men_lead
## 1326 dut_ill el_thr ps_lead men_lead rel
## 842 imp_rlg dut_ill dut_chl job_men rel
## 1561 el_fair trs_ntn ps_lead men_lead rel
## 1333 dut_ill ps_lead men_lead el_brb rel
## 909 imp_rlg dut_ill trs_ntn el_brb rel
## 1316 dut_ill job_men ps_lead men_lead rel
## 1481 dut_chl el_fair el_thr ps_lead rel
## 1330 dut_ill trs_ntn ps_lead men_lead rel
## 1468 dut_chl el_fair job_men trs_ntn rel
## 851 imp_rlg dut_ill dut_chl trs_ntn rel
## 1027 imp_rlg dut_chl job_men trs_ntn rel
## 1018 imp_rlg dut_chl el_fair el_brb rel
## 847 imp_rlg dut_ill dut_chl el_thr rel
## 1250 dut_ill dut_chl el_thr ps_lead rel
## 1513 dut_chl job_men ps_lead el_brb rel
## 1033 imp_rlg dut_chl job_men el_brb rel
## 1287 dut_ill el_fair el_thr men_lead rel
## 856 imp_rlg dut_ill dut_chl men_lead rel
## 1023 imp_rlg dut_chl job_men el_thr rel
## 1261 dut_ill dut_chl ps_lead men_lead rel
## 1493 dut_chl el_fair ps_lead el_brb rel
## 943 imp_rlg ps_arm el_fair job_men trs_ntn
## 1262 dut_ill dut_chl ps_lead el_brb rel
## 805 imp_rlg dut_ill ps_arm el_fair ps_lead
## 1501 dut_chl job_men el_thr ps_lead rel
## 1048 imp_rlg dut_chl trs_ntn men_lead rel
## 857 imp_rlg dut_ill dut_chl el_brb rel
## 1103 imp_rlg job_men trs_ntn men_lead rel
## 1473 dut_chl el_fair job_men men_lead rel
## 1256 dut_ill dut_chl trs_ntn ps_lead rel
## 1464 dut_chl el_fair job_men el_thr rel
## 1222 dut_ill dut_chl el_fair trs_ntn rel
## 1302 dut_ill job_men el_thr trs_ntn rel
## 1489 dut_chl el_fair trs_ntn men_lead rel
## 1298 dut_ill el_fair men_lead el_brb rel
## 1117 imp_rlg el_thr ps_lead el_brb rel
## 1321 dut_ill el_thr trs_ntn ps_lead rel
## 1507 dut_chl job_men trs_ntn ps_lead rel
## 1577 job_men trs_ntn ps_lead el_brb rel
## 1557 el_fair el_thr ps_lead men_lead rel
## 1108 imp_rlg job_men men_lead el_brb rel
## 794 imp_rlg dut_ill ps_arm dut_chl el_fair
## 1122 imp_rlg trs_ntn men_lead el_brb rel
## 1113 imp_rlg el_thr trs_ntn men_lead rel
## 1314 dut_ill job_men trs_ntn el_brb rel
## 1567 job_men el_thr trs_ntn ps_lead rel
## 1053 imp_rlg dut_chl men_lead el_brb rel
## 1564 el_fair ps_lead men_lead el_brb rel
## 1474 dut_chl el_fair job_men el_brb rel
## 1097 imp_rlg job_men el_thr men_lead rel
## 1037 imp_rlg dut_chl el_thr trs_ntn rel
## 916 imp_rlg ps_arm dut_chl el_fair trs_ntn
## 1042 imp_rlg dut_chl el_thr men_lead rel
## 1331 dut_ill trs_ntn ps_lead el_brb rel
## 1098 imp_rlg job_men el_thr el_brb rel
## 1218 dut_ill dut_chl el_fair el_thr rel
## 1529 dut_chl ps_lead men_lead el_brb rel
## 903 imp_rlg dut_ill el_thr el_brb rel
## 1049 imp_rlg dut_chl trs_ntn el_brb rel
## 1544 el_fair job_men trs_ntn men_lead rel
## 1072 imp_rlg el_fair el_thr trs_ntn rel
## 1522 dut_chl el_thr ps_lead men_lead rel
## 1526 dut_chl trs_ntn ps_lead men_lead rel
## 1233 dut_ill dut_chl job_men el_thr rel
## 1579 job_men ps_lead men_lead el_brb rel
## 1483 dut_chl el_fair el_thr men_lead rel
## 954 imp_rlg ps_arm el_fair trs_ntn men_lead
## 1533 el_fair job_men el_thr trs_ntn rel
## 1243 dut_ill dut_chl job_men el_brb rel
## 1308 dut_ill job_men el_thr el_brb rel
## 1228 dut_ill dut_chl el_fair el_brb rel
## 1573 job_men el_thr ps_lead el_brb rel
## 1084 imp_rlg el_fair trs_ntn el_brb rel
## 1307 dut_ill job_men el_thr men_lead rel
## 1327 dut_ill el_thr ps_lead el_brb rel
## 1032 imp_rlg dut_chl job_men men_lead rel
## 1517 dut_chl el_thr trs_ntn ps_lead rel
## 1318 dut_ill job_men men_lead el_brb rel
## 1527 dut_chl trs_ntn ps_lead el_brb rel
## 1572 job_men el_thr ps_lead men_lead rel
## 1512 dut_chl job_men ps_lead men_lead rel
## 810 imp_rlg dut_ill ps_arm job_men trs_ntn
## 1494 dut_chl el_fair men_lead el_brb rel
## 1545 el_fair job_men trs_ntn el_brb rel
## 1576 job_men trs_ntn ps_lead men_lead rel
## 1538 el_fair job_men el_thr men_lead rel
## 914 imp_rlg ps_arm dut_chl el_fair job_men
## 1323 dut_ill el_thr trs_ntn men_lead rel
## 1549 el_fair job_men men_lead el_brb rel
## 1237 dut_ill dut_chl job_men trs_ntn rel
## 944 imp_rlg ps_arm el_fair job_men ps_lead
## 1282 dut_ill el_fair el_thr trs_ntn rel
## 1313 dut_ill job_men trs_ntn men_lead rel
## 1332 dut_ill trs_ntn men_lead el_brb rel
## 1252 dut_ill dut_chl el_thr men_lead rel
## 1510 dut_chl job_men trs_ntn el_brb rel
## 1498 dut_chl job_men el_thr trs_ntn rel
## 1263 dut_ill dut_chl men_lead el_brb rel
## 918 imp_rlg ps_arm dut_chl el_fair men_lead
## 1585 trs_ntn ps_lead men_lead el_brb rel
## 1118 imp_rlg el_thr men_lead el_brb rel
## 821 imp_rlg dut_ill ps_arm trs_ntn men_lead
## 1581 el_thr trs_ntn ps_lead men_lead rel
## 1247 dut_ill dut_chl el_thr trs_ntn rel
## 820 imp_rlg dut_ill ps_arm trs_ntn ps_lead
## 1043 imp_rlg dut_chl el_thr el_brb rel
## 1523 dut_chl el_thr ps_lead el_brb rel
## 1294 dut_ill el_fair trs_ntn el_brb rel
## 1258 dut_ill dut_chl trs_ntn men_lead rel
## 917 imp_rlg ps_arm dut_chl el_fair ps_lead
## 1478 dut_chl el_fair el_thr trs_ntn rel
## 1539 el_fair job_men el_thr el_brb rel
## 1259 dut_ill dut_chl trs_ntn el_brb rel
## 803 imp_rlg dut_ill ps_arm el_fair el_thr
## 1552 el_fair el_thr trs_ntn ps_lead rel
## 1328 dut_ill el_thr men_lead el_brb rel
## 1242 dut_ill dut_chl job_men men_lead rel
## 1504 dut_chl job_men el_thr el_brb rel
## 1528 dut_chl trs_ntn men_lead el_brb rel
## 953 imp_rlg ps_arm el_fair trs_ntn ps_lead
## 1514 dut_chl job_men men_lead el_brb rel
## 1490 dut_chl el_fair trs_ntn el_brb rel
## 1519 dut_chl el_thr trs_ntn men_lead rel
## 797 imp_rlg dut_ill ps_arm dut_chl trs_ntn
## 945 imp_rlg ps_arm el_fair job_men men_lead
## 1078 imp_rlg el_fair el_thr el_brb rel
## 1562 el_fair trs_ntn ps_lead el_brb rel
## 1554 el_fair el_thr trs_ntn men_lead rel
## 957 imp_rlg ps_arm el_fair ps_lead men_lead
## 807 imp_rlg dut_ill ps_arm el_fair el_brb
## 1578 job_men trs_ntn men_lead el_brb rel
## 1584 el_thr ps_lead men_lead el_brb rel
## 1503 dut_chl job_men el_thr men_lead rel
## 1288 dut_ill el_fair el_thr el_brb rel
## 1114 imp_rlg el_thr trs_ntn el_brb rel
## 1563 el_fair trs_ntn men_lead el_brb rel
## 1569 job_men el_thr trs_ntn men_lead rel
## 1570 job_men el_thr trs_ntn el_brb rel
## 1253 dut_ill dut_chl el_thr el_brb rel
## 811 imp_rlg dut_ill ps_arm job_men ps_lead
## 815 imp_rlg dut_ill ps_arm el_thr trs_ntn
## 1509 dut_chl job_men trs_ntn men_lead rel
## 822 imp_rlg dut_ill ps_arm trs_ntn el_brb
## 860 imp_rlg dut_ill el_fair job_men ps_lead
## 1324 dut_ill el_thr trs_ntn el_brb rel
## 1524 dut_chl el_thr men_lead el_brb rel
## 968 imp_rlg ps_arm job_men trs_ntn ps_lead
## 1484 dut_chl el_fair el_thr el_brb rel
## 1558 el_fair el_thr ps_lead el_brb rel
## 1574 job_men el_thr men_lead el_brb rel
## 942 imp_rlg ps_arm el_fair job_men el_thr
## 824 imp_rlg dut_ill ps_arm ps_lead men_lead
## 922 imp_rlg ps_arm dut_chl job_men trs_ntn
## 809 imp_rlg dut_ill ps_arm job_men el_thr
## 946 imp_rlg ps_arm el_fair job_men el_brb
## 813 imp_rlg dut_ill ps_arm job_men el_brb
## 1559 el_fair el_thr men_lead el_brb rel
## 1153 dut_ill ps_arm el_fair job_men trs_ntn
## 933 imp_rlg ps_arm dut_chl trs_ntn men_lead
## 932 imp_rlg ps_arm dut_chl trs_ntn ps_lead
## 1520 dut_chl el_thr trs_ntn el_brb rel
## 1582 el_thr trs_ntn ps_lead el_brb rel
## 970 imp_rlg ps_arm job_men trs_ntn el_brb
## 873 imp_rlg dut_ill el_fair ps_lead men_lead
## 963 imp_rlg ps_arm job_men el_thr trs_ntn
## 798 imp_rlg dut_ill ps_arm dut_chl ps_lead
## 915 imp_rlg ps_arm dut_chl el_fair el_thr
## 988 imp_rlg ps_arm trs_ntn ps_lead men_lead
## 795 imp_rlg dut_ill ps_arm dut_chl job_men
## 812 imp_rlg dut_ill ps_arm job_men men_lead
## 1583 el_thr trs_ntn men_lead el_brb rel
## 969 imp_rlg ps_arm job_men trs_ntn men_lead
## 919 imp_rlg ps_arm dut_chl el_fair el_brb
## 816 imp_rlg dut_ill ps_arm el_thr ps_lead
## 948 imp_rlg ps_arm el_fair el_thr trs_ntn
## 817 imp_rlg dut_ill ps_arm el_thr men_lead
## 827 imp_rlg dut_ill ps_arm men_lead el_brb
## 825 imp_rlg dut_ill ps_arm ps_lead el_brb
## 799 imp_rlg dut_ill ps_arm dut_chl men_lead
## 950 imp_rlg ps_arm el_fair el_thr men_lead
## 955 imp_rlg ps_arm el_fair trs_ntn el_brb
## 927 imp_rlg ps_arm dut_chl el_thr trs_ntn
## 859 imp_rlg dut_ill el_fair job_men trs_ntn
## 1059 imp_rlg el_fair job_men trs_ntn ps_lead
## 1154 dut_ill ps_arm el_fair job_men ps_lead
## 934 imp_rlg ps_arm dut_chl trs_ntn el_brb
## 960 imp_rlg ps_arm el_fair men_lead el_brb
## 1124 dut_ill ps_arm dut_chl el_fair job_men
## 869 imp_rlg dut_ill el_fair trs_ntn ps_lead
## 1164 dut_ill ps_arm el_fair trs_ntn men_lead
## 796 imp_rlg dut_ill ps_arm dut_chl el_thr
## 884 imp_rlg dut_ill job_men trs_ntn ps_lead
## 1126 dut_ill ps_arm dut_chl el_fair trs_ntn
## 991 imp_rlg ps_arm trs_ntn men_lead el_brb
## 800 imp_rlg dut_ill ps_arm dut_chl el_brb
## 979 imp_rlg ps_arm el_thr trs_ntn men_lead
## 923 imp_rlg ps_arm dut_chl job_men ps_lead
## 1000 imp_rlg dut_chl el_fair job_men ps_lead
## 1155 dut_ill ps_arm el_fair job_men men_lead
## 1128 dut_ill ps_arm dut_chl el_fair men_lead
## 1335 ps_arm dut_chl el_fair job_men trs_ntn
## 833 imp_rlg dut_ill dut_chl el_fair ps_lead
## 870 imp_rlg dut_ill el_fair trs_ntn men_lead
## 936 imp_rlg ps_arm dut_chl ps_lead men_lead
## 973 imp_rlg ps_arm job_men ps_lead el_brb
## 1555 el_fair el_thr trs_ntn el_brb rel
## 904 imp_rlg dut_ill trs_ntn ps_lead men_lead
## 1013 imp_rlg dut_chl el_fair ps_lead men_lead
## 1079 imp_rlg el_fair trs_ntn ps_lead men_lead
## 1152 dut_ill ps_arm el_fair job_men el_thr
## 964 imp_rlg ps_arm job_men el_thr ps_lead
## 949 imp_rlg ps_arm el_fair el_thr ps_lead
## 925 imp_rlg ps_arm dut_chl job_men el_brb
## 1167 dut_ill ps_arm el_fair ps_lead men_lead
## 1063 imp_rlg el_fair job_men ps_lead men_lead
## 958 imp_rlg ps_arm el_fair ps_lead el_brb
## 861 imp_rlg dut_ill el_fair job_men men_lead
## 921 imp_rlg ps_arm dut_chl job_men el_thr
## 1346 ps_arm dut_chl el_fair trs_ntn men_lead
## 978 imp_rlg ps_arm el_thr trs_ntn ps_lead
## 1127 dut_ill ps_arm dut_chl el_fair ps_lead
## 989 imp_rlg ps_arm trs_ntn ps_lead el_brb
## 972 imp_rlg ps_arm job_men ps_lead men_lead
## 1156 dut_ill ps_arm el_fair job_men el_brb
## 880 imp_rlg dut_ill job_men el_thr ps_lead
## 1009 imp_rlg dut_chl el_fair trs_ntn ps_lead
## 818 imp_rlg dut_ill ps_arm el_thr el_brb
## 830 imp_rlg dut_ill dut_chl el_fair job_men
## 1163 dut_ill ps_arm el_fair trs_ntn ps_lead
## 939 imp_rlg ps_arm dut_chl men_lead el_brb
## 937 imp_rlg ps_arm dut_chl ps_lead el_brb
## 858 imp_rlg dut_ill el_fair job_men el_thr
## 928 imp_rlg ps_arm dut_chl el_thr ps_lead
## 889 imp_rlg dut_ill job_men ps_lead el_brb
## 999 imp_rlg dut_chl el_fair job_men trs_ntn
## 1336 ps_arm dut_chl el_fair job_men ps_lead
## 929 imp_rlg ps_arm dut_chl el_thr men_lead
## 924 imp_rlg ps_arm dut_chl job_men men_lead
## 1055 imp_rlg el_fair job_men el_thr ps_lead
## 975 imp_rlg ps_arm job_men men_lead el_brb
## 865 imp_rlg dut_ill el_fair el_thr ps_lead
## 834 imp_rlg dut_ill dut_chl el_fair men_lead
## 888 imp_rlg dut_ill job_men ps_lead men_lead
## 994 imp_rlg ps_arm ps_lead men_lead el_brb
## 1173 dut_ill ps_arm job_men el_thr trs_ntn
## 879 imp_rlg dut_ill job_men el_thr trs_ntn
## 1395 ps_arm el_fair job_men trs_ntn ps_lead
## 1178 dut_ill ps_arm job_men trs_ntn ps_lead
## 848 imp_rlg dut_ill dut_chl trs_ntn ps_lead
## 862 imp_rlg dut_ill el_fair job_men el_brb
## 965 imp_rlg ps_arm job_men el_thr men_lead
## 1024 imp_rlg dut_chl job_men trs_ntn ps_lead
## 1060 imp_rlg el_fair job_men trs_ntn men_lead
## 1180 dut_ill ps_arm job_men trs_ntn el_brb
## 1010 imp_rlg dut_chl el_fair trs_ntn men_lead
## 982 imp_rlg ps_arm el_thr ps_lead men_lead
## 1064 imp_rlg el_fair job_men ps_lead el_brb
## 839 imp_rlg dut_ill dut_chl job_men ps_lead
## 894 imp_rlg dut_ill el_thr trs_ntn ps_lead
## 1089 imp_rlg job_men el_thr trs_ntn ps_lead
## 1396 ps_arm el_fair job_men trs_ntn men_lead
## 1337 ps_arm dut_chl el_fair job_men men_lead
## 1132 dut_ill ps_arm dut_chl job_men trs_ntn
## 832 imp_rlg dut_ill dut_chl el_fair trs_ntn
## 1160 dut_ill ps_arm el_fair el_thr men_lead
## 966 imp_rlg ps_arm job_men el_thr el_brb
## 1345 ps_arm dut_chl el_fair trs_ntn ps_lead
## 898 imp_rlg dut_ill el_thr ps_lead men_lead
## 874 imp_rlg dut_ill el_fair ps_lead el_brb
## 1349 ps_arm dut_chl el_fair ps_lead men_lead
## 1125 dut_ill ps_arm dut_chl el_fair el_thr
## 1100 imp_rlg job_men trs_ntn ps_lead el_brb
## 886 imp_rlg dut_ill job_men trs_ntn el_brb
## 1170 dut_ill ps_arm el_fair men_lead el_brb
## 1044 imp_rlg dut_chl trs_ntn ps_lead men_lead
## 1099 imp_rlg job_men trs_ntn ps_lead men_lead
## 1158 dut_ill ps_arm el_fair el_thr trs_ntn
## 910 imp_rlg dut_ill ps_lead men_lead el_brb
## 1269 dut_ill el_fair job_men trs_ntn ps_lead
## 852 imp_rlg dut_ill dut_chl ps_lead men_lead
## 866 imp_rlg dut_ill el_fair el_thr men_lead
## 905 imp_rlg dut_ill trs_ntn ps_lead el_brb
## 1129 dut_ill ps_arm dut_chl el_fair el_brb
## 1179 dut_ill ps_arm job_men trs_ntn men_lead
## 1334 ps_arm dut_chl el_fair job_men el_thr
## 885 imp_rlg dut_ill job_men trs_ntn men_lead
## 980 imp_rlg ps_arm el_thr trs_ntn el_brb
## 1054 imp_rlg el_fair job_men el_thr trs_ntn
## 1143 dut_ill ps_arm dut_chl trs_ntn men_lead
## 1338 ps_arm dut_chl el_fair job_men el_brb
## 1165 dut_ill ps_arm el_fair trs_ntn el_brb
## 1390 ps_arm el_fair job_men el_thr trs_ntn
## 1001 imp_rlg dut_chl el_fair job_men men_lead
## 838 imp_rlg dut_ill dut_chl job_men trs_ntn
## 895 imp_rlg dut_ill el_thr trs_ntn men_lead
## 876 imp_rlg dut_ill el_fair men_lead el_brb
## 1198 dut_ill ps_arm trs_ntn ps_lead men_lead
## 1397 ps_arm el_fair job_men trs_ntn el_brb
## 1210 dut_ill dut_chl el_fair job_men ps_lead
## 930 imp_rlg ps_arm dut_chl el_thr el_brb
## 1142 dut_ill ps_arm dut_chl trs_ntn ps_lead
## 951 imp_rlg ps_arm el_fair el_thr el_brb
## 1073 imp_rlg el_fair el_thr ps_lead men_lead
## 1174 dut_ill ps_arm job_men el_thr ps_lead
## 1061 imp_rlg el_fair job_men trs_ntn el_brb
## 1137 dut_ill ps_arm dut_chl el_thr trs_ntn
## 844 imp_rlg dut_ill dut_chl el_thr ps_lead
## 1183 dut_ill ps_arm job_men ps_lead el_brb
## 1189 dut_ill ps_arm el_thr trs_ntn men_lead
## 1399 ps_arm el_fair job_men ps_lead men_lead
## 1273 dut_ill el_fair job_men ps_lead men_lead
## 1020 imp_rlg dut_chl job_men el_thr ps_lead
## 1340 ps_arm dut_chl el_fair el_thr trs_ntn
## 1201 dut_ill ps_arm trs_ntn men_lead el_brb
## 1005 imp_rlg dut_chl el_fair el_thr ps_lead
## 1085 imp_rlg el_fair ps_lead men_lead el_brb
## 1144 dut_ill ps_arm dut_chl trs_ntn el_brb
## 1159 dut_ill ps_arm el_fair el_thr ps_lead
## 1133 dut_ill ps_arm dut_chl job_men ps_lead
## 1131 dut_ill ps_arm dut_chl job_men el_thr
## 1029 imp_rlg dut_chl job_men ps_lead el_brb
## 907 imp_rlg dut_ill trs_ntn men_lead el_brb
## 864 imp_rlg dut_ill el_fair el_thr trs_ntn
## 1135 dut_ill ps_arm dut_chl job_men el_brb
## 998 imp_rlg dut_chl el_fair job_men el_thr
## 849 imp_rlg dut_ill dut_chl trs_ntn men_lead
## 1109 imp_rlg el_thr trs_ntn ps_lead men_lead
## 1415 ps_arm el_fair trs_ntn ps_lead men_lead
## 1362 ps_arm dut_chl job_men trs_ntn el_brb
## 1342 ps_arm dut_chl el_fair el_thr men_lead
## 1034 imp_rlg dut_chl el_thr trs_ntn ps_lead
## 1347 ps_arm dut_chl el_fair trs_ntn el_brb
## 985 imp_rlg ps_arm el_thr men_lead el_brb
## 1355 ps_arm dut_chl job_men el_thr trs_ntn
## 853 imp_rlg dut_ill dut_chl ps_lead el_brb
## 1119 imp_rlg trs_ntn ps_lead men_lead el_brb
## 1352 ps_arm dut_chl el_fair men_lead el_brb
## 1360 ps_arm dut_chl job_men trs_ntn ps_lead
## 1168 dut_ill ps_arm el_fair ps_lead el_brb
## 1265 dut_ill el_fair job_men el_thr ps_lead
## 1014 imp_rlg dut_chl el_fair ps_lead el_brb
## 1019 imp_rlg dut_chl job_men el_thr trs_ntn
## 881 imp_rlg dut_ill job_men el_thr men_lead
## 1223 dut_ill dut_chl el_fair ps_lead men_lead
## 1182 dut_ill ps_arm job_men ps_lead men_lead
## 1045 imp_rlg dut_chl trs_ntn ps_lead el_brb
## 1289 dut_ill el_fair trs_ntn ps_lead men_lead
## 1002 imp_rlg dut_chl el_fair job_men el_brb
## 1028 imp_rlg dut_chl job_men ps_lead men_lead
## 837 imp_rlg dut_ill dut_chl job_men el_thr
## 1185 dut_ill ps_arm job_men men_lead el_brb
## 1093 imp_rlg job_men el_thr ps_lead men_lead
## 1175 dut_ill ps_arm job_men el_thr men_lead
## 1391 ps_arm el_fair job_men el_thr ps_lead
## 1105 imp_rlg job_men ps_lead men_lead el_brb
## 1465 dut_chl el_fair job_men trs_ntn ps_lead
## 831 imp_rlg dut_ill dut_chl el_fair el_thr
## 871 imp_rlg dut_ill el_fair trs_ntn el_brb
## 1176 dut_ill ps_arm job_men el_thr el_brb
## 1026 imp_rlg dut_chl job_men trs_ntn el_brb
## 1038 imp_rlg dut_chl el_thr ps_lead men_lead
## 1056 imp_rlg el_fair job_men el_thr men_lead
## 891 imp_rlg dut_ill job_men men_lead el_brb
## 1146 dut_ill ps_arm dut_chl ps_lead men_lead
## 1274 dut_ill el_fair job_men ps_lead el_brb
## 1400 ps_arm el_fair job_men ps_lead el_brb
## 1209 dut_ill dut_chl el_fair job_men trs_ntn
## 1050 imp_rlg dut_chl ps_lead men_lead el_brb
## 1188 dut_ill ps_arm el_thr trs_ntn ps_lead
## 882 imp_rlg dut_ill job_men el_thr el_brb
## 843 imp_rlg dut_ill dut_chl el_thr trs_ntn
## 1070 imp_rlg el_fair el_thr trs_ntn men_lead
## 1006 imp_rlg dut_chl el_fair el_thr men_lead
## 983 imp_rlg ps_arm el_thr ps_lead el_brb
## 1270 dut_ill el_fair job_men trs_ntn men_lead
## 1139 dut_ill ps_arm dut_chl el_thr men_lead
## 1149 dut_ill ps_arm dut_chl men_lead el_brb
## 841 imp_rlg dut_ill dut_chl job_men el_brb
## 1361 ps_arm dut_chl job_men trs_ntn men_lead
## 1069 imp_rlg el_fair el_thr trs_ntn ps_lead
## 1380 ps_arm dut_chl trs_ntn ps_lead men_lead
## 1066 imp_rlg el_fair job_men men_lead el_brb
## 1383 ps_arm dut_chl trs_ntn men_lead el_brb
## 1199 dut_ill ps_arm trs_ntn ps_lead el_brb
## 1090 imp_rlg job_men el_thr trs_ntn men_lead
## 1134 dut_ill ps_arm dut_chl job_men men_lead
## 1392 ps_arm el_fair job_men el_thr men_lead
## 1094 imp_rlg job_men el_thr ps_lead el_brb
## 1341 ps_arm dut_chl el_fair el_thr ps_lead
## 1371 ps_arm dut_chl el_thr trs_ntn men_lead
## 1138 dut_ill ps_arm dut_chl el_thr ps_lead
## 1299 dut_ill job_men el_thr trs_ntn ps_lead
## 1402 ps_arm el_fair job_men men_lead el_brb
## 1025 imp_rlg dut_chl job_men trs_ntn men_lead
## 1192 dut_ill ps_arm el_thr ps_lead men_lead
## 899 imp_rlg dut_ill el_thr ps_lead el_brb
## 1082 imp_rlg el_fair trs_ntn men_lead el_brb
## 1102 imp_rlg job_men trs_ntn men_lead el_brb
## 1204 dut_ill ps_arm ps_lead men_lead el_brb
## 1035 imp_rlg dut_chl el_thr trs_ntn men_lead
## 1016 imp_rlg dut_chl el_fair men_lead el_brb
## 835 imp_rlg dut_ill dut_chl el_fair el_brb
## 1264 dut_ill el_fair job_men el_thr trs_ntn
## 1147 dut_ill ps_arm dut_chl ps_lead el_brb
## 1219 dut_ill dut_chl el_fair trs_ntn ps_lead
## 1004 imp_rlg dut_chl el_fair el_thr trs_ntn
## 1350 ps_arm dut_chl el_fair ps_lead el_brb
## 1080 imp_rlg el_fair trs_ntn ps_lead el_brb
## 1406 ps_arm el_fair el_thr trs_ntn men_lead
## 1436 ps_arm job_men trs_ntn ps_lead el_brb
## 845 imp_rlg dut_ill dut_chl el_thr men_lead
## 850 imp_rlg dut_ill dut_chl trs_ntn el_brb
## 1047 imp_rlg dut_chl trs_ntn men_lead el_brb
## 1425 ps_arm job_men el_thr trs_ntn ps_lead
## 1418 ps_arm el_fair trs_ntn men_lead el_brb
## 1485 dut_chl el_fair trs_ntn ps_lead men_lead
## 1310 dut_ill job_men trs_ntn ps_lead el_brb
## 1365 ps_arm dut_chl job_men ps_lead el_brb
## 840 imp_rlg dut_ill dut_chl job_men men_lead
## 1469 dut_chl el_fair job_men ps_lead men_lead
## 1220 dut_ill dut_chl el_fair trs_ntn men_lead
## 1091 imp_rlg job_men el_thr trs_ntn el_brb
## 1234 dut_ill dut_chl job_men trs_ntn ps_lead
## 855 imp_rlg dut_ill dut_chl men_lead el_brb
## 1356 ps_arm dut_chl job_men el_thr ps_lead
## 1211 dut_ill dut_chl el_fair job_men men_lead
## 1438 ps_arm job_men trs_ntn men_lead el_brb
## 1161 dut_ill ps_arm el_fair el_thr el_brb
## 1435 ps_arm job_men trs_ntn ps_lead men_lead
## 1271 dut_ill el_fair job_men trs_ntn el_brb
## 1011 imp_rlg dut_chl el_fair trs_ntn el_brb
## 1370 ps_arm dut_chl el_thr trs_ntn ps_lead
## 1381 ps_arm dut_chl trs_ntn ps_lead el_brb
## 1309 dut_ill job_men trs_ntn ps_lead men_lead
## 1283 dut_ill el_fair el_thr ps_lead men_lead
## 1540 el_fair job_men trs_ntn ps_lead men_lead
## 1208 dut_ill dut_chl el_fair job_men el_thr
## 1426 ps_arm job_men el_thr trs_ntn men_lead
## 1190 dut_ill ps_arm el_thr trs_ntn el_brb
## 1057 imp_rlg el_fair job_men el_thr el_brb
## 1461 dut_chl el_fair job_men el_thr ps_lead
## 1393 ps_arm el_fair job_men el_thr el_brb
## 1230 dut_ill dut_chl job_men el_thr ps_lead
## 1266 dut_ill el_fair job_men el_thr men_lead
## 901 imp_rlg dut_ill el_thr men_lead el_brb
## 1427 ps_arm job_men el_thr trs_ntn el_brb
## 1195 dut_ill ps_arm el_thr men_lead el_brb
## 1140 dut_ill ps_arm dut_chl el_thr el_brb
## 1295 dut_ill el_fair ps_lead men_lead el_brb
## 1367 ps_arm dut_chl job_men men_lead el_brb
## 896 imp_rlg dut_ill el_thr trs_ntn el_brb
## 1470 dut_chl el_fair job_men ps_lead el_brb
## 1466 dut_chl el_fair job_men trs_ntn men_lead
## 1364 ps_arm dut_chl job_men ps_lead men_lead
## 1239 dut_ill dut_chl job_men ps_lead el_brb
## 1212 dut_ill dut_chl el_fair job_men el_brb
## 1254 dut_ill dut_chl trs_ntn ps_lead men_lead
## 1409 ps_arm el_fair el_thr ps_lead men_lead
## 1303 dut_ill job_men el_thr ps_lead men_lead
## 1021 imp_rlg dut_chl job_men el_thr men_lead
## 1358 ps_arm dut_chl job_men el_thr el_brb
## 1386 ps_arm dut_chl ps_lead men_lead el_brb
## 1357 ps_arm dut_chl job_men el_thr men_lead
## 1215 dut_ill dut_chl el_fair el_thr ps_lead
## 1421 ps_arm el_fair ps_lead men_lead el_brb
## 1276 dut_ill el_fair job_men men_lead el_brb
## 1031 imp_rlg dut_chl job_men men_lead el_brb
## 1229 dut_ill dut_chl job_men el_thr trs_ntn
## 1530 el_fair job_men el_thr trs_ntn ps_lead
## 1115 imp_rlg el_thr ps_lead men_lead el_brb
## 1315 dut_ill job_men ps_lead men_lead el_brb
## 1374 ps_arm dut_chl el_thr ps_lead men_lead
## 1319 dut_ill el_thr trs_ntn ps_lead men_lead
## 867 imp_rlg dut_ill el_fair el_thr el_brb
## 1039 imp_rlg dut_chl el_thr ps_lead el_brb
## 1460 dut_chl el_fair job_men el_thr trs_ntn
## 1495 dut_chl job_men el_thr trs_ntn ps_lead
## 1304 dut_ill job_men el_thr ps_lead el_brb
## 1343 ps_arm dut_chl el_fair el_thr el_brb
## 1022 imp_rlg dut_chl job_men el_thr el_brb
## 1372 ps_arm dut_chl el_thr trs_ntn el_brb
## 1506 dut_chl job_men trs_ntn ps_lead el_brb
## 1300 dut_ill job_men el_thr trs_ntn men_lead
## 1280 dut_ill el_fair el_thr trs_ntn men_lead
## 1541 el_fair job_men trs_ntn ps_lead el_brb
## 1216 dut_ill dut_chl el_fair el_thr men_lead
## 1329 dut_ill trs_ntn ps_lead men_lead el_brb
## 1236 dut_ill dut_chl job_men trs_ntn el_brb
## 1224 dut_ill dut_chl el_fair ps_lead el_brb
## 1479 dut_chl el_fair el_thr ps_lead men_lead
## 1193 dut_ill ps_arm el_thr ps_lead el_brb
## 1441 ps_arm job_men ps_lead men_lead el_brb
## 1455 ps_arm trs_ntn ps_lead men_lead el_brb
## 1238 dut_ill dut_chl job_men ps_lead men_lead
## 1244 dut_ill dut_chl el_thr trs_ntn ps_lead
## 1467 dut_chl el_fair job_men trs_ntn el_brb
## 1248 dut_ill dut_chl el_thr ps_lead men_lead
## 1110 imp_rlg el_thr trs_ntn ps_lead el_brb
## 1267 dut_ill el_fair job_men el_thr el_brb
## 1312 dut_ill job_men trs_ntn men_lead el_brb
## 1445 ps_arm el_thr trs_ntn ps_lead men_lead
## 1112 imp_rlg el_thr trs_ntn men_lead el_brb
## 1301 dut_ill job_men el_thr trs_ntn el_brb
## 1429 ps_arm job_men el_thr ps_lead men_lead
## 1279 dut_ill el_fair el_thr trs_ntn ps_lead
## 846 imp_rlg dut_ill dut_chl el_thr el_brb
## 1491 dut_chl el_fair ps_lead men_lead el_brb
## 1292 dut_ill el_fair trs_ntn men_lead el_brb
## 1534 el_fair job_men el_thr ps_lead men_lead
## 1096 imp_rlg job_men el_thr men_lead el_brb
## 1260 dut_ill dut_chl ps_lead men_lead el_brb
## 1226 dut_ill dut_chl el_fair men_lead el_brb
## 1505 dut_chl job_men trs_ntn ps_lead men_lead
## 1430 ps_arm job_men el_thr ps_lead el_brb
## 1405 ps_arm el_fair el_thr trs_ntn ps_lead
## 1036 imp_rlg dut_chl el_thr trs_ntn el_brb
## 1377 ps_arm dut_chl el_thr men_lead el_brb
## 1546 el_fair job_men ps_lead men_lead el_brb
## 1255 dut_ill dut_chl trs_ntn ps_lead el_brb
## 1074 imp_rlg el_fair el_thr ps_lead el_brb
## 1076 imp_rlg el_fair el_thr men_lead el_brb
## 1245 dut_ill dut_chl el_thr trs_ntn men_lead
## 1416 ps_arm el_fair trs_ntn ps_lead el_brb
## 1235 dut_ill dut_chl job_men trs_ntn men_lead
## 1214 dut_ill dut_chl el_fair el_thr trs_ntn
## 1041 imp_rlg dut_chl el_thr men_lead el_brb
## 1462 dut_chl el_fair job_men el_thr men_lead
## 1476 dut_chl el_fair el_thr trs_ntn men_lead
## 1515 dut_chl el_thr trs_ntn ps_lead men_lead
## 1290 dut_ill el_fair trs_ntn ps_lead el_brb
## 1525 dut_chl trs_ntn ps_lead men_lead el_brb
## 1475 dut_chl el_fair el_thr trs_ntn ps_lead
## 1531 el_fair job_men el_thr trs_ntn men_lead
## 1412 ps_arm el_fair el_thr men_lead el_brb
## 1257 dut_ill dut_chl trs_ntn men_lead el_brb
## 1565 job_men el_thr trs_ntn ps_lead men_lead
## 1432 ps_arm job_men el_thr men_lead el_brb
## 1575 job_men trs_ntn ps_lead men_lead el_brb
## 1007 imp_rlg dut_chl el_fair el_thr el_brb
## 1472 dut_chl el_fair job_men men_lead el_brb
## 1448 ps_arm el_thr trs_ntn men_lead el_brb
## 1231 dut_ill dut_chl job_men el_thr men_lead
## 1488 dut_chl el_fair trs_ntn men_lead el_brb
## 1375 ps_arm dut_chl el_thr ps_lead el_brb
## 1499 dut_chl job_men el_thr ps_lead men_lead
## 1511 dut_chl job_men ps_lead men_lead el_brb
## 1543 el_fair job_men trs_ntn men_lead el_brb
## 1232 dut_ill dut_chl job_men el_thr el_brb
## 1221 dut_ill dut_chl el_fair trs_ntn el_brb
## 1486 dut_chl el_fair trs_ntn ps_lead el_brb
## 1241 dut_ill dut_chl job_men men_lead el_brb
## 1500 dut_chl job_men el_thr ps_lead el_brb
## 1496 dut_chl job_men el_thr trs_ntn men_lead
## 1325 dut_ill el_thr ps_lead men_lead el_brb
## 1535 el_fair job_men el_thr ps_lead el_brb
## 1566 job_men el_thr trs_ntn ps_lead el_brb
## 1508 dut_chl job_men trs_ntn men_lead el_brb
## 1306 dut_ill job_men el_thr men_lead el_brb
## 1550 el_fair el_thr trs_ntn ps_lead men_lead
## 1497 dut_chl job_men el_thr trs_ntn el_brb
## 1463 dut_chl el_fair job_men el_thr el_brb
## 1560 el_fair trs_ntn ps_lead men_lead el_brb
## 1286 dut_ill el_fair el_thr men_lead el_brb
## 1249 dut_ill dut_chl el_thr ps_lead el_brb
## 1407 ps_arm el_fair el_thr trs_ntn el_brb
## 1322 dut_ill el_thr trs_ntn men_lead el_brb
## 1071 imp_rlg el_fair el_thr trs_ntn el_brb
## 1532 el_fair job_men el_thr trs_ntn el_brb
## 1284 dut_ill el_fair el_thr ps_lead el_brb
## 1320 dut_ill el_thr trs_ntn ps_lead el_brb
## 1451 ps_arm el_thr ps_lead men_lead el_brb
## 1251 dut_ill dut_chl el_thr men_lead el_brb
## 1521 dut_chl el_thr ps_lead men_lead el_brb
## 1571 job_men el_thr ps_lead men_lead el_brb
## 1246 dut_ill dut_chl el_thr trs_ntn el_brb
## 1446 ps_arm el_thr trs_ntn ps_lead el_brb
## 1217 dut_ill dut_chl el_fair el_thr el_brb
## 1568 job_men el_thr trs_ntn men_lead el_brb
## 1516 dut_chl el_thr trs_ntn ps_lead el_brb
## 1518 dut_chl el_thr trs_ntn men_lead el_brb
## 1410 ps_arm el_fair el_thr ps_lead el_brb
## 1537 el_fair job_men el_thr men_lead el_brb
## 1482 dut_chl el_fair el_thr men_lead el_brb
## 1480 dut_chl el_fair el_thr ps_lead el_brb
## 1502 dut_chl job_men el_thr men_lead el_brb
## 1281 dut_ill el_fair el_thr trs_ntn el_brb
## 1556 el_fair el_thr ps_lead men_lead el_brb
## 1580 el_thr trs_ntn ps_lead men_lead el_brb
## 1477 dut_chl el_fair el_thr trs_ntn el_brb
## 1553 el_fair el_thr trs_ntn men_lead el_brb
## 1551 el_fair el_thr trs_ntn ps_lead el_brb
## 1628 imp_rlg dut_ill ps_arm el_fair trs_ntn rel
## 1631 imp_rlg dut_ill ps_arm el_fair ps_lead rel
## 1619 imp_rlg dut_ill ps_arm el_fair job_men rel
## 1633 imp_rlg dut_ill ps_arm el_fair men_lead rel
## 1592 imp_rlg dut_ill ps_arm dut_chl el_fair rel
## 1810 imp_rlg ps_arm dut_chl el_fair trs_ntn rel
## 1860 imp_rlg ps_arm el_fair job_men trs_ntn rel
## 1813 imp_rlg ps_arm dut_chl el_fair ps_lead rel
## 1624 imp_rlg dut_ill ps_arm el_fair el_thr rel
## 1881 imp_rlg ps_arm el_fair trs_ntn men_lead rel
## 1634 imp_rlg dut_ill ps_arm el_fair el_brb rel
## 1815 imp_rlg ps_arm dut_chl el_fair men_lead rel
## 1863 imp_rlg ps_arm el_fair job_men ps_lead rel
## 1801 imp_rlg ps_arm dut_chl el_fair job_men rel
## 1879 imp_rlg ps_arm el_fair trs_ntn ps_lead rel
## 1884 imp_rlg ps_arm el_fair ps_lead men_lead rel
## 1865 imp_rlg ps_arm el_fair job_men men_lead rel
## 1806 imp_rlg ps_arm dut_chl el_fair el_thr rel
## 1662 imp_rlg dut_ill ps_arm trs_ntn ps_lead rel
## 1816 imp_rlg ps_arm dut_chl el_fair el_brb rel
## 1856 imp_rlg ps_arm el_fair job_men el_thr rel
## 1866 imp_rlg ps_arm el_fair job_men el_brb rel
## 1643 imp_rlg dut_ill ps_arm job_men trs_ntn rel
## 1870 imp_rlg ps_arm el_fair el_thr trs_ntn rel
## 1665 imp_rlg dut_ill ps_arm trs_ntn el_brb rel
## 1664 imp_rlg dut_ill ps_arm trs_ntn men_lead rel
## 1882 imp_rlg ps_arm el_fair trs_ntn el_brb rel
## 1653 imp_rlg dut_ill ps_arm el_thr trs_ntn rel
## 1886 imp_rlg ps_arm el_fair men_lead el_brb rel
## 1875 imp_rlg ps_arm el_fair el_thr men_lead rel
## 2112 dut_ill ps_arm el_fair job_men trs_ntn rel
## 1607 imp_rlg dut_ill ps_arm dut_chl trs_ntn rel
## 1873 imp_rlg ps_arm el_fair el_thr ps_lead rel
## 2062 dut_ill ps_arm dut_chl el_fair trs_ntn rel
## 1885 imp_rlg ps_arm el_fair ps_lead el_brb rel
## 2115 dut_ill ps_arm el_fair job_men ps_lead rel
## 1646 imp_rlg dut_ill ps_arm job_men ps_lead rel
## 1668 imp_rlg dut_ill ps_arm ps_lead el_brb rel
## 2053 dut_ill ps_arm dut_chl el_fair job_men rel
## 2133 dut_ill ps_arm el_fair trs_ntn men_lead rel
## 2065 dut_ill ps_arm dut_chl el_fair ps_lead rel
## 1667 imp_rlg dut_ill ps_arm ps_lead men_lead rel
## 1649 imp_rlg dut_ill ps_arm job_men el_brb rel
## 1656 imp_rlg dut_ill ps_arm el_thr ps_lead rel
## 2067 dut_ill ps_arm dut_chl el_fair men_lead rel
## 1610 imp_rlg dut_ill ps_arm dut_chl ps_lead rel
## 2136 dut_ill ps_arm el_fair ps_lead men_lead rel
## 1639 imp_rlg dut_ill ps_arm job_men el_thr rel
## 1844 imp_rlg ps_arm dut_chl trs_ntn ps_lead rel
## 1669 imp_rlg dut_ill ps_arm men_lead el_brb rel
## 2131 dut_ill ps_arm el_fair trs_ntn ps_lead rel
## 2117 dut_ill ps_arm el_fair job_men men_lead rel
## 1613 imp_rlg dut_ill ps_arm dut_chl el_brb rel
## 1847 imp_rlg ps_arm dut_chl trs_ntn el_brb rel
## 1899 imp_rlg ps_arm job_men trs_ntn ps_lead rel
## 1658 imp_rlg dut_ill ps_arm el_thr men_lead rel
## 2108 dut_ill ps_arm el_fair job_men el_thr rel
## 1902 imp_rlg ps_arm job_men trs_ntn el_brb rel
## 1603 imp_rlg dut_ill ps_arm dut_chl el_thr rel
## 2308 ps_arm dut_chl el_fair job_men trs_ntn rel
## 2118 dut_ill ps_arm el_fair job_men el_brb rel
## 1835 imp_rlg ps_arm dut_chl el_thr trs_ntn rel
## 1846 imp_rlg ps_arm dut_chl trs_ntn men_lead rel
## 1825 imp_rlg ps_arm dut_chl job_men trs_ntn rel
## 1918 imp_rlg ps_arm trs_ntn ps_lead men_lead rel
## 2329 ps_arm dut_chl el_fair trs_ntn men_lead rel
## 2058 dut_ill ps_arm dut_chl el_fair el_thr rel
## 1890 imp_rlg ps_arm job_men el_thr trs_ntn rel
## 1598 imp_rlg dut_ill ps_arm dut_chl job_men rel
## 1612 imp_rlg dut_ill ps_arm dut_chl men_lead rel
## 2068 dut_ill ps_arm dut_chl el_fair el_brb rel
## 2311 ps_arm dut_chl el_fair job_men ps_lead rel
## 1920 imp_rlg ps_arm trs_ntn men_lead el_brb rel
## 1648 imp_rlg dut_ill ps_arm job_men men_lead rel
## 2327 ps_arm dut_chl el_fair trs_ntn ps_lead rel
## 1659 imp_rlg dut_ill ps_arm el_thr el_brb rel
## 1919 imp_rlg ps_arm trs_ntn ps_lead el_brb rel
## 2127 dut_ill ps_arm el_fair el_thr men_lead rel
## 1850 imp_rlg ps_arm dut_chl ps_lead el_brb rel
## 2332 ps_arm dut_chl el_fair ps_lead men_lead rel
## 2138 dut_ill ps_arm el_fair men_lead el_brb rel
## 2122 dut_ill ps_arm el_fair el_thr trs_ntn rel
## 1905 imp_rlg ps_arm job_men ps_lead el_brb rel
## 1909 imp_rlg ps_arm el_thr trs_ntn ps_lead rel
## 1876 imp_rlg ps_arm el_fair el_thr el_brb rel
## 1911 imp_rlg ps_arm el_thr trs_ntn men_lead rel
## 2134 dut_ill ps_arm el_fair trs_ntn el_brb rel
## 2125 dut_ill ps_arm el_fair el_thr ps_lead rel
## 1901 imp_rlg ps_arm job_men trs_ntn men_lead rel
## 1838 imp_rlg ps_arm dut_chl el_thr ps_lead rel
## 1828 imp_rlg ps_arm dut_chl job_men ps_lead rel
## 1831 imp_rlg ps_arm dut_chl job_men el_brb rel
## 1849 imp_rlg ps_arm dut_chl ps_lead men_lead rel
## 2137 dut_ill ps_arm el_fair ps_lead el_brb rel
## 2382 ps_arm el_fair job_men trs_ntn ps_lead rel
## 1893 imp_rlg ps_arm job_men el_thr ps_lead rel
## 1851 imp_rlg ps_arm dut_chl men_lead el_brb rel
## 2313 ps_arm dut_chl el_fair job_men men_lead rel
## 1921 imp_rlg ps_arm ps_lead men_lead el_brb rel
## 2314 ps_arm dut_chl el_fair job_men el_brb rel
## 2304 ps_arm dut_chl el_fair job_men el_thr rel
## 1821 imp_rlg ps_arm dut_chl job_men el_thr rel
## 2318 ps_arm dut_chl el_fair el_thr trs_ntn rel
## 2330 ps_arm dut_chl el_fair trs_ntn el_brb rel
## 2384 ps_arm el_fair job_men trs_ntn men_lead rel
## 1840 imp_rlg ps_arm dut_chl el_thr men_lead rel
## 2334 ps_arm dut_chl el_fair men_lead el_brb rel
## 2323 ps_arm dut_chl el_fair el_thr men_lead rel
## 1914 imp_rlg ps_arm el_thr ps_lead men_lead rel
## 1904 imp_rlg ps_arm job_men ps_lead men_lead rel
## 2321 ps_arm dut_chl el_fair el_thr ps_lead rel
## 1906 imp_rlg ps_arm job_men men_lead el_brb rel
## 2333 ps_arm dut_chl el_fair ps_lead el_brb rel
## 2401 ps_arm el_fair trs_ntn ps_lead men_lead rel
## 1912 imp_rlg ps_arm el_thr trs_ntn el_brb rel
## 2387 ps_arm el_fair job_men ps_lead men_lead rel
## 1841 imp_rlg ps_arm dut_chl el_thr el_brb rel
## 2385 ps_arm el_fair job_men trs_ntn el_brb rel
## 2373 ps_arm el_fair job_men el_thr trs_ntn rel
## 1896 imp_rlg ps_arm job_men el_thr el_brb rel
## 2154 dut_ill ps_arm job_men trs_ntn el_brb rel
## 2128 dut_ill ps_arm el_fair el_thr el_brb rel
## 2142 dut_ill ps_arm job_men el_thr trs_ntn rel
## 1830 imp_rlg ps_arm dut_chl job_men men_lead rel
## 2388 ps_arm el_fair job_men ps_lead el_brb rel
## 1895 imp_rlg ps_arm job_men el_thr men_lead rel
## 2376 ps_arm el_fair job_men el_thr ps_lead rel
## 2099 dut_ill ps_arm dut_chl trs_ntn el_brb rel
## 2151 dut_ill ps_arm job_men trs_ntn ps_lead rel
## 2157 dut_ill ps_arm job_men ps_lead el_brb rel
## 1737 imp_rlg dut_ill el_fair job_men ps_lead rel
## 1915 imp_rlg ps_arm el_thr ps_lead el_brb rel
## 2087 dut_ill ps_arm dut_chl el_thr trs_ntn rel
## 2096 dut_ill ps_arm dut_chl trs_ntn ps_lead rel
## 1916 imp_rlg ps_arm el_thr men_lead el_brb rel
## 2172 dut_ill ps_arm trs_ntn men_lead el_brb rel
## 2077 dut_ill ps_arm dut_chl job_men trs_ntn rel
## 2145 dut_ill ps_arm job_men el_thr ps_lead rel
## 2083 dut_ill ps_arm dut_chl job_men el_brb rel
## 2403 ps_arm el_fair trs_ntn men_lead el_brb rel
## 2394 ps_arm el_fair el_thr trs_ntn men_lead rel
## 2171 dut_ill ps_arm trs_ntn ps_lead el_brb rel
## 2102 dut_ill ps_arm dut_chl ps_lead el_brb rel
## 2170 dut_ill ps_arm trs_ntn ps_lead men_lead rel
## 2389 ps_arm el_fair job_men men_lead el_brb rel
## 1758 imp_rlg dut_ill el_fair ps_lead men_lead rel
## 2163 dut_ill ps_arm el_thr trs_ntn men_lead rel
## 2378 ps_arm el_fair job_men el_thr men_lead rel
## 2098 dut_ill ps_arm dut_chl trs_ntn men_lead rel
## 2161 dut_ill ps_arm el_thr trs_ntn ps_lead rel
## 2090 dut_ill ps_arm dut_chl el_thr ps_lead rel
## 2324 ps_arm dut_chl el_fair el_thr el_brb rel
## 2173 dut_ill ps_arm ps_lead men_lead el_brb rel
## 2073 dut_ill ps_arm dut_chl job_men el_thr rel
## 2103 dut_ill ps_arm dut_chl men_lead el_brb rel
## 2404 ps_arm el_fair ps_lead men_lead el_brb rel
## 2350 ps_arm dut_chl job_men trs_ntn el_brb rel
## 2397 ps_arm el_fair el_thr ps_lead men_lead rel
## 2153 dut_ill ps_arm job_men trs_ntn men_lead rel
## 2080 dut_ill ps_arm dut_chl job_men ps_lead rel
## 2148 dut_ill ps_arm job_men el_thr el_brb rel
## 2158 dut_ill ps_arm job_men men_lead el_brb rel
## 2166 dut_ill ps_arm el_thr ps_lead men_lead rel
## 2101 dut_ill ps_arm dut_chl ps_lead men_lead rel
## 2379 ps_arm el_fair job_men el_thr el_brb rel
## 2092 dut_ill ps_arm dut_chl el_thr men_lead rel
## 2368 ps_arm dut_chl trs_ntn men_lead el_brb rel
## 2367 ps_arm dut_chl trs_ntn ps_lead el_brb rel
## 2338 ps_arm dut_chl job_men el_thr trs_ntn rel
## 2164 dut_ill ps_arm el_thr trs_ntn el_brb rel
## 2156 dut_ill ps_arm job_men ps_lead men_lead rel
## 2147 dut_ill ps_arm job_men el_thr men_lead rel
## 2093 dut_ill ps_arm dut_chl el_thr el_brb rel
## 1753 imp_rlg dut_ill el_fair trs_ntn ps_lead rel
## 2347 ps_arm dut_chl job_men trs_ntn ps_lead rel
## 2392 ps_arm el_fair el_thr trs_ntn ps_lead rel
## 2353 ps_arm dut_chl job_men ps_lead el_brb rel
## 1687 imp_rlg dut_ill dut_chl el_fair ps_lead rel
## 2402 ps_arm el_fair trs_ntn ps_lead el_brb rel
## 2357 ps_arm dut_chl el_thr trs_ntn ps_lead rel
## 2417 ps_arm job_men trs_ntn ps_lead el_brb rel
## 2359 ps_arm dut_chl el_thr trs_ntn men_lead rel
## 2366 ps_arm dut_chl trs_ntn ps_lead men_lead rel
## 2168 dut_ill ps_arm el_thr men_lead el_brb rel
## 2004 imp_rlg el_fair job_men trs_ntn ps_lead rel
## 2167 dut_ill ps_arm el_thr ps_lead el_brb rel
## 1933 imp_rlg dut_chl el_fair job_men ps_lead rel
## 2369 ps_arm dut_chl ps_lead men_lead el_brb rel
## 1954 imp_rlg dut_chl el_fair ps_lead men_lead rel
## 2082 dut_ill ps_arm dut_chl job_men men_lead rel
## 2341 ps_arm dut_chl job_men el_thr ps_lead rel
## 2407 ps_arm job_men el_thr trs_ntn ps_lead rel
## 2360 ps_arm dut_chl el_thr trs_ntn el_brb rel
## 2399 ps_arm el_fair el_thr men_lead el_brb rel
## 2418 ps_arm job_men trs_ntn men_lead el_brb rel
## 2349 ps_arm dut_chl job_men trs_ntn men_lead rel
## 2009 imp_rlg el_fair job_men ps_lead men_lead rel
## 2344 ps_arm dut_chl job_men el_thr el_brb rel
## 2023 imp_rlg el_fair trs_ntn ps_lead men_lead rel
## 2354 ps_arm dut_chl job_men men_lead el_brb rel
## 1747 imp_rlg dut_ill el_fair el_thr ps_lead rel
## 2362 ps_arm dut_chl el_thr ps_lead men_lead rel
## 2410 ps_arm job_men el_thr trs_ntn el_brb rel
## 1949 imp_rlg dut_chl el_fair trs_ntn ps_lead rel
## 2425 ps_arm trs_ntn ps_lead men_lead el_brb rel
## 1734 imp_rlg dut_ill el_fair job_men trs_ntn rel
## 2363 ps_arm dut_chl el_thr ps_lead el_brb rel
## 1759 imp_rlg dut_ill el_fair ps_lead el_brb rel
## 2395 ps_arm el_fair el_thr trs_ntn el_brb rel
## 2416 ps_arm job_men trs_ntn ps_lead men_lead rel
## 2409 ps_arm job_men el_thr trs_ntn men_lead rel
## 1998 imp_rlg el_fair job_men el_thr ps_lead rel
## 1773 imp_rlg dut_ill job_men trs_ntn ps_lead rel
## 2364 ps_arm dut_chl el_thr men_lead el_brb rel
## 2419 ps_arm job_men ps_lead men_lead el_brb rel
## 2352 ps_arm dut_chl job_men ps_lead men_lead rel
## 2343 ps_arm dut_chl job_men el_thr men_lead rel
## 1767 imp_rlg dut_ill job_men el_thr ps_lead rel
## 2398 ps_arm el_fair el_thr ps_lead el_brb rel
## 2010 imp_rlg el_fair job_men ps_lead el_brb rel
## 2413 ps_arm job_men el_thr ps_lead el_brb rel
## 2421 ps_arm el_thr trs_ntn ps_lead men_lead rel
## 1779 imp_rlg dut_ill job_men ps_lead el_brb rel
## 1755 imp_rlg dut_ill el_fair trs_ntn men_lead rel
## 1792 imp_rlg dut_ill trs_ntn ps_lead men_lead rel
## 1739 imp_rlg dut_ill el_fair job_men men_lead rel
## 2412 ps_arm job_men el_thr ps_lead men_lead rel
## 1730 imp_rlg dut_ill el_fair job_men el_thr rel
## 2423 ps_arm el_thr trs_ntn men_lead el_brb rel
## 1675 imp_rlg dut_ill dut_chl el_fair job_men rel
## 1788 imp_rlg dut_ill el_thr ps_lead men_lead rel
## 2019 imp_rlg el_fair el_thr ps_lead men_lead rel
## 1943 imp_rlg dut_chl el_fair el_thr ps_lead rel
## 2256 dut_ill el_fair job_men trs_ntn ps_lead rel
## 1783 imp_rlg dut_ill el_thr trs_ntn ps_lead rel
## 1795 imp_rlg dut_ill ps_lead men_lead el_brb rel
## 2185 dut_ill dut_chl el_fair job_men ps_lead rel
## 1689 imp_rlg dut_ill dut_chl el_fair men_lead rel
## 2026 imp_rlg el_fair ps_lead men_lead el_brb rel
## 2414 ps_arm job_men el_thr men_lead el_brb rel
## 1740 imp_rlg dut_ill el_fair job_men el_brb rel
## 1955 imp_rlg dut_chl el_fair ps_lead el_brb rel
## 1778 imp_rlg dut_ill job_men ps_lead men_lead rel
## 2261 dut_ill el_fair job_men ps_lead men_lead rel
## 1615 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn
## 1793 imp_rlg dut_ill trs_ntn ps_lead el_brb rel
## 1718 imp_rlg dut_ill dut_chl trs_ntn ps_lead rel
## 2250 dut_ill el_fair job_men el_thr ps_lead rel
## 1702 imp_rlg dut_ill dut_chl job_men ps_lead rel
## 2424 ps_arm el_thr ps_lead men_lead el_brb rel
## 2206 dut_ill dut_chl el_fair ps_lead men_lead rel
## 1749 imp_rlg dut_ill el_fair el_thr men_lead rel
## 2422 ps_arm el_thr trs_ntn ps_lead el_brb rel
## 1930 imp_rlg dut_chl el_fair job_men trs_ntn rel
## 2039 imp_rlg job_men trs_ntn ps_lead el_brb rel
## 2029 imp_rlg job_men el_thr trs_ntn ps_lead rel
## 1712 imp_rlg dut_ill dut_chl el_thr ps_lead rel
## 1723 imp_rlg dut_ill dut_chl ps_lead men_lead rel
## 1951 imp_rlg dut_chl el_fair trs_ntn men_lead rel
## 1684 imp_rlg dut_ill dut_chl el_fair trs_ntn rel
## 2262 dut_ill el_fair job_men ps_lead el_brb rel
## 1626 imp_rlg dut_ill ps_arm el_fair trs_ntn men_lead
## 1969 imp_rlg dut_chl job_men trs_ntn ps_lead rel
## 1724 imp_rlg dut_ill dut_chl ps_lead el_brb rel
## 2275 dut_ill el_fair trs_ntn ps_lead men_lead rel
## 1760 imp_rlg dut_ill el_fair men_lead el_brb rel
## 2006 imp_rlg el_fair job_men trs_ntn men_lead rel
## 1988 imp_rlg dut_chl trs_ntn ps_lead men_lead rel
## 1975 imp_rlg dut_chl job_men ps_lead el_brb rel
## 1963 imp_rlg dut_chl job_men el_thr ps_lead rel
## 1764 imp_rlg dut_ill job_men el_thr trs_ntn rel
## 2038 imp_rlg job_men trs_ntn ps_lead men_lead rel
## 2014 imp_rlg el_fair el_thr trs_ntn ps_lead rel
## 2438 dut_chl el_fair job_men trs_ntn ps_lead rel
## 1935 imp_rlg dut_chl el_fair job_men men_lead rel
## 1979 imp_rlg dut_chl el_thr trs_ntn ps_lead rel
## 2201 dut_ill dut_chl el_fair trs_ntn ps_lead rel
## 1789 imp_rlg dut_ill el_thr ps_lead el_brb rel
## 1995 imp_rlg el_fair job_men el_thr trs_ntn rel
## 2047 imp_rlg trs_ntn ps_lead men_lead el_brb rel
## 2271 dut_ill el_fair el_thr ps_lead men_lead rel
## 1991 imp_rlg dut_chl ps_lead men_lead el_brb rel
## 1989 imp_rlg dut_chl trs_ntn ps_lead el_brb rel
## 2043 imp_rlg el_thr trs_ntn ps_lead men_lead rel
## 1776 imp_rlg dut_ill job_men trs_ntn el_brb rel
## 2024 imp_rlg el_fair trs_ntn ps_lead el_brb rel
## 1984 imp_rlg dut_chl el_thr ps_lead men_lead rel
## 1625 imp_rlg dut_ill ps_arm el_fair trs_ntn ps_lead
## 1744 imp_rlg dut_ill el_fair el_thr trs_ntn rel
## 1926 imp_rlg dut_chl el_fair job_men el_thr rel
## 1588 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn
## 2041 imp_rlg job_men ps_lead men_lead el_brb rel
## 1680 imp_rlg dut_ill dut_chl el_fair el_thr rel
## 1616 imp_rlg dut_ill ps_arm el_fair job_men ps_lead
## 2443 dut_chl el_fair job_men ps_lead men_lead rel
## 2457 dut_chl el_fair trs_ntn ps_lead men_lead rel
## 2278 dut_ill el_fair ps_lead men_lead el_brb rel
## 2007 imp_rlg el_fair job_men trs_ntn el_brb rel
## 2034 imp_rlg job_men el_thr ps_lead men_lead rel
## 2035 imp_rlg job_men el_thr ps_lead el_brb rel
## 2195 dut_ill dut_chl el_fair el_thr ps_lead rel
## 2432 dut_chl el_fair job_men el_thr ps_lead rel
## 1936 imp_rlg dut_chl el_fair job_men el_brb rel
## 1945 imp_rlg dut_chl el_fair el_thr men_lead rel
## 1785 imp_rlg dut_ill el_thr trs_ntn men_lead rel
## 1756 imp_rlg dut_ill el_fair trs_ntn el_brb rel
## 1974 imp_rlg dut_chl job_men ps_lead men_lead rel
## 2444 dut_chl el_fair job_men ps_lead el_brb rel
## 2000 imp_rlg el_fair job_men el_thr men_lead rel
## 1690 imp_rlg dut_ill dut_chl el_fair el_brb rel
## 2281 dut_ill job_men el_thr trs_ntn ps_lead rel
## 1629 imp_rlg dut_ill ps_arm el_fair ps_lead men_lead
## 2207 dut_ill dut_chl el_fair ps_lead el_brb rel
## 1794 imp_rlg dut_ill trs_ntn men_lead el_brb rel
## 1956 imp_rlg dut_chl el_fair men_lead el_brb rel
## 2291 dut_ill job_men trs_ntn ps_lead el_brb rel
## 2011 imp_rlg el_fair job_men men_lead el_brb rel
## 2016 imp_rlg el_fair el_thr trs_ntn men_lead rel
## 1775 imp_rlg dut_ill job_men trs_ntn men_lead rel
## 2182 dut_ill dut_chl el_fair job_men trs_ntn rel
## 2493 el_fair job_men trs_ntn ps_lead men_lead rel
## 2453 dut_chl el_fair el_thr ps_lead men_lead rel
## 2258 dut_ill el_fair job_men trs_ntn men_lead rel
## 1769 imp_rlg dut_ill job_men el_thr men_lead rel
## 1770 imp_rlg dut_ill job_men el_thr el_brb rel
## 2247 dut_ill el_fair job_men el_thr trs_ntn rel
## 1797 imp_rlg ps_arm dut_chl el_fair job_men trs_ntn
## 1695 imp_rlg dut_ill dut_chl job_men el_thr rel
## 1780 imp_rlg dut_ill job_men men_lead el_brb rel
## 1940 imp_rlg dut_chl el_fair el_thr trs_ntn rel
## 2460 dut_chl el_fair ps_lead men_lead el_brb rel
## 1699 imp_rlg dut_ill dut_chl job_men trs_ntn rel
## 2025 imp_rlg el_fair trs_ntn men_lead el_brb rel
## 2215 dut_ill dut_chl job_men el_thr ps_lead rel
## 1808 imp_rlg ps_arm dut_chl el_fair trs_ntn men_lead
## 2227 dut_ill dut_chl job_men ps_lead el_brb rel
## 2178 dut_ill dut_chl el_fair job_men el_thr rel
## 1985 imp_rlg dut_chl el_thr ps_lead el_brb rel
## 1705 imp_rlg dut_ill dut_chl job_men el_brb rel
## 1586 imp_rlg dut_ill ps_arm dut_chl el_fair job_men
## 2484 el_fair job_men el_thr trs_ntn ps_lead rel
## 2203 dut_ill dut_chl el_fair trs_ntn men_lead rel
## 2266 dut_ill el_fair el_thr trs_ntn ps_lead rel
## 2187 dut_ill dut_chl el_fair job_men men_lead rel
## 1617 imp_rlg dut_ill ps_arm el_fair job_men men_lead
## 2046 imp_rlg el_thr ps_lead men_lead el_brb rel
## 1709 imp_rlg dut_ill dut_chl el_thr trs_ntn rel
## 2287 dut_ill job_men el_thr ps_lead el_brb rel
## 1720 imp_rlg dut_ill dut_chl trs_ntn men_lead rel
## 1960 imp_rlg dut_chl job_men el_thr trs_ntn rel
## 2020 imp_rlg el_fair el_thr ps_lead el_brb rel
## 2252 dut_ill el_fair job_men el_thr men_lead rel
## 1590 imp_rlg dut_ill ps_arm dut_chl el_fair men_lead
## 1589 imp_rlg dut_ill ps_arm dut_chl el_fair ps_lead
## 1972 imp_rlg dut_chl job_men trs_ntn el_brb rel
## 2259 dut_ill el_fair job_men trs_ntn el_brb rel
## 1857 imp_rlg ps_arm el_fair job_men trs_ntn ps_lead
## 2293 dut_ill job_men ps_lead men_lead el_brb rel
## 2494 el_fair job_men trs_ntn ps_lead el_brb rel
## 2286 dut_ill job_men el_thr ps_lead men_lead rel
## 1952 imp_rlg dut_chl el_fair trs_ntn el_brb rel
## 2489 el_fair job_men el_thr ps_lead men_lead rel
## 1714 imp_rlg dut_ill dut_chl el_thr men_lead rel
## 2001 imp_rlg el_fair job_men el_thr el_brb rel
## 2221 dut_ill dut_chl job_men trs_ntn ps_lead rel
## 2188 dut_ill dut_chl el_fair job_men el_brb rel
## 2496 el_fair job_men ps_lead men_lead el_brb rel
## 2295 dut_ill el_thr trs_ntn ps_lead men_lead rel
## 1725 imp_rlg dut_ill dut_chl men_lead el_brb rel
## 2276 dut_ill el_fair trs_ntn ps_lead el_brb rel
## 1721 imp_rlg dut_ill dut_chl trs_ntn el_brb rel
## 1750 imp_rlg dut_ill el_fair el_thr el_brb rel
## 1807 imp_rlg ps_arm dut_chl el_fair trs_ntn ps_lead
## 2236 dut_ill dut_chl el_thr ps_lead men_lead rel
## 2263 dut_ill el_fair job_men men_lead el_brb rel
## 2290 dut_ill job_men trs_ntn ps_lead men_lead rel
## 2243 dut_ill dut_chl ps_lead men_lead el_brb rel
## 2299 dut_ill trs_ntn ps_lead men_lead el_brb rel
## 2197 dut_ill dut_chl el_fair el_thr men_lead rel
## 1981 imp_rlg dut_chl el_thr trs_ntn men_lead rel
## 1990 imp_rlg dut_chl trs_ntn men_lead el_brb rel
## 1790 imp_rlg dut_ill el_thr men_lead el_brb rel
## 2040 imp_rlg job_men trs_ntn men_lead el_brb rel
## 2448 dut_chl el_fair el_thr trs_ntn ps_lead rel
## 2231 dut_ill dut_chl el_thr trs_ntn ps_lead rel
## 2031 imp_rlg job_men el_thr trs_ntn men_lead rel
## 2044 imp_rlg el_thr trs_ntn ps_lead el_brb rel
## 1620 imp_rlg dut_ill ps_arm el_fair el_thr trs_ntn
## 2473 dut_chl job_men trs_ntn ps_lead el_brb rel
## 1614 imp_rlg dut_ill ps_arm el_fair job_men el_thr
## 2240 dut_ill dut_chl trs_ntn ps_lead men_lead rel
## 2463 dut_chl job_men el_thr trs_ntn ps_lead rel
## 2268 dut_ill el_fair el_thr trs_ntn men_lead rel
## 2032 imp_rlg job_men el_thr trs_ntn el_brb rel
## 2241 dut_ill dut_chl trs_ntn ps_lead el_brb rel
## 2253 dut_ill el_fair job_men el_thr el_brb rel
## 1858 imp_rlg ps_arm el_fair job_men trs_ntn men_lead
## 2208 dut_ill dut_chl el_fair men_lead el_brb rel
## 2458 dut_chl el_fair trs_ntn ps_lead el_brb rel
## 2440 dut_chl el_fair job_men trs_ntn men_lead rel
## 1618 imp_rlg dut_ill ps_arm el_fair job_men el_brb
## 1877 imp_rlg ps_arm el_fair trs_ntn ps_lead men_lead
## 2429 dut_chl el_fair job_men el_thr trs_ntn rel
## 1786 imp_rlg dut_ill el_thr trs_ntn el_brb rel
## 1627 imp_rlg dut_ill ps_arm el_fair trs_ntn el_brb
## 2490 el_fair job_men el_thr ps_lead el_brb rel
## 2272 dut_ill el_fair el_thr ps_lead el_brb rel
## 1704 imp_rlg dut_ill dut_chl job_men men_lead rel
## 2226 dut_ill dut_chl job_men ps_lead men_lead rel
## 2298 dut_ill el_thr ps_lead men_lead el_brb rel
## 1971 imp_rlg dut_chl job_men trs_ntn men_lead rel
## 2277 dut_ill el_fair trs_ntn men_lead el_brb rel
## 2498 el_fair el_thr trs_ntn ps_lead men_lead rel
## 1640 imp_rlg dut_ill ps_arm job_men trs_ntn ps_lead
## 2441 dut_chl el_fair job_men trs_ntn el_brb rel
## 2481 dut_chl trs_ntn ps_lead men_lead el_brb rel
## 1966 imp_rlg dut_chl job_men el_thr el_brb rel
## 1976 imp_rlg dut_chl job_men men_lead el_brb rel
## 1798 imp_rlg ps_arm dut_chl el_fair job_men ps_lead
## 2021 imp_rlg el_fair el_thr men_lead el_brb rel
## 2477 dut_chl el_thr trs_ntn ps_lead men_lead rel
## 2192 dut_ill dut_chl el_fair el_thr trs_ntn rel
## 2469 dut_chl job_men el_thr ps_lead el_brb rel
## 1965 imp_rlg dut_chl job_men el_thr men_lead rel
## 2237 dut_ill dut_chl el_thr ps_lead el_brb rel
## 2502 el_fair trs_ntn ps_lead men_lead el_brb rel
## 1715 imp_rlg dut_ill dut_chl el_thr el_brb rel
## 2475 dut_chl job_men ps_lead men_lead el_brb rel
## 1622 imp_rlg dut_ill ps_arm el_fair el_thr men_lead
## 2212 dut_ill dut_chl job_men el_thr trs_ntn rel
## 2434 dut_chl el_fair job_men el_thr men_lead rel
## 1811 imp_rlg ps_arm dut_chl el_fair ps_lead men_lead
## 1946 imp_rlg dut_chl el_fair el_thr el_brb rel
## 2450 dut_chl el_fair el_thr trs_ntn men_lead rel
## 2468 dut_chl job_men el_thr ps_lead men_lead rel
## 2224 dut_ill dut_chl job_men trs_ntn el_brb rel
## 1632 imp_rlg dut_ill ps_arm el_fair men_lead el_brb
## 2508 job_men trs_ntn ps_lead men_lead el_brb rel
## 2445 dut_chl el_fair job_men men_lead el_brb rel
## 2284 dut_ill job_men el_thr trs_ntn el_brb rel
## 2283 dut_ill job_men el_thr trs_ntn men_lead rel
## 2454 dut_chl el_fair el_thr ps_lead el_brb rel
## 2472 dut_chl job_men trs_ntn ps_lead men_lead rel
## 1660 imp_rlg dut_ill ps_arm trs_ntn ps_lead men_lead
## 1635 imp_rlg dut_ill ps_arm job_men el_thr trs_ntn
## 2292 dut_ill job_men trs_ntn men_lead el_brb rel
## 1852 imp_rlg ps_arm el_fair job_men el_thr trs_ntn
## 2504 job_men el_thr trs_ntn ps_lead men_lead rel
## 2036 imp_rlg job_men el_thr men_lead el_brb rel
## 2459 dut_chl el_fair trs_ntn men_lead el_brb rel
## 2505 job_men el_thr trs_ntn ps_lead el_brb rel
## 2204 dut_ill dut_chl el_fair trs_ntn el_brb rel
## 1986 imp_rlg dut_chl el_thr men_lead el_brb rel
## 2045 imp_rlg el_thr trs_ntn men_lead el_brb rel
## 1621 imp_rlg dut_ill ps_arm el_fair el_thr ps_lead
## 1642 imp_rlg dut_ill ps_arm job_men trs_ntn el_brb
## 2296 dut_ill el_thr trs_ntn ps_lead el_brb rel
## 2273 dut_ill el_fair el_thr men_lead el_brb rel
## 1982 imp_rlg dut_chl el_thr trs_ntn el_brb rel
## 1859 imp_rlg ps_arm el_fair job_men trs_ntn el_brb
## 2486 el_fair job_men el_thr trs_ntn men_lead rel
## 1587 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr
## 2233 dut_ill dut_chl el_thr trs_ntn men_lead rel
## 2480 dut_chl el_thr ps_lead men_lead el_brb rel
## 2435 dut_chl el_fair job_men el_thr el_brb rel
## 2218 dut_ill dut_chl job_men el_thr el_brb rel
## 1630 imp_rlg dut_ill ps_arm el_fair ps_lead el_brb
## 2495 el_fair job_men trs_ntn men_lead el_brb rel
## 2242 dut_ill dut_chl trs_ntn men_lead el_brb rel
## 1802 imp_rlg ps_arm dut_chl el_fair el_thr trs_ntn
## 1604 imp_rlg dut_ill ps_arm dut_chl trs_ntn ps_lead
## 1861 imp_rlg ps_arm el_fair job_men ps_lead men_lead
## 1799 imp_rlg ps_arm dut_chl el_fair job_men men_lead
## 2501 el_fair el_thr ps_lead men_lead el_brb rel
## 2217 dut_ill dut_chl job_men el_thr men_lead rel
## 1594 imp_rlg dut_ill ps_arm dut_chl job_men trs_ntn
## 1591 imp_rlg dut_ill ps_arm dut_chl el_fair el_brb
## 2288 dut_ill job_men el_thr men_lead el_brb rel
## 2228 dut_ill dut_chl job_men men_lead el_brb rel
## 1641 imp_rlg dut_ill ps_arm job_men trs_ntn men_lead
## 2507 job_men el_thr ps_lead men_lead el_brb rel
## 1809 imp_rlg ps_arm dut_chl el_fair trs_ntn el_brb
## 1651 imp_rlg dut_ill ps_arm el_thr trs_ntn men_lead
## 2478 dut_chl el_thr trs_ntn ps_lead el_brb rel
## 2198 dut_ill dut_chl el_fair el_thr el_brb rel
## 1605 imp_rlg dut_ill ps_arm dut_chl trs_ntn men_lead
## 1731 imp_rlg dut_ill el_fair job_men trs_ntn ps_lead
## 1663 imp_rlg dut_ill ps_arm trs_ntn men_lead el_brb
## 1650 imp_rlg dut_ill ps_arm el_thr trs_ntn ps_lead
## 2017 imp_rlg el_fair el_thr trs_ntn el_brb rel
## 1868 imp_rlg ps_arm el_fair el_thr trs_ntn men_lead
## 2223 dut_ill dut_chl job_men trs_ntn men_lead rel
## 2455 dut_chl el_fair el_thr men_lead el_brb rel
## 2487 el_fair job_men el_thr trs_ntn el_brb rel
## 2466 dut_chl job_men el_thr trs_ntn el_brb rel
## 2297 dut_ill el_thr trs_ntn men_lead el_brb rel
## 2474 dut_chl job_men trs_ntn men_lead el_brb rel
## 2238 dut_ill dut_chl el_thr men_lead el_brb rel
## 1880 imp_rlg ps_arm el_fair trs_ntn men_lead el_brb
## 1599 imp_rlg dut_ill ps_arm dut_chl el_thr trs_ntn
## 1661 imp_rlg dut_ill ps_arm trs_ntn ps_lead el_brb
## 2465 dut_chl job_men el_thr trs_ntn men_lead rel
## 1796 imp_rlg ps_arm dut_chl el_fair job_men el_thr
## 2491 el_fair job_men el_thr men_lead el_brb rel
## 1606 imp_rlg dut_ill ps_arm dut_chl trs_ntn el_brb
## 2509 el_thr trs_ntn ps_lead men_lead el_brb rel
## 1800 imp_rlg ps_arm dut_chl el_fair job_men el_brb
## 1853 imp_rlg ps_arm el_fair job_men el_thr ps_lead
## 2234 dut_ill dut_chl el_thr trs_ntn el_brb rel
## 1751 imp_rlg dut_ill el_fair trs_ntn ps_lead men_lead
## 1862 imp_rlg ps_arm el_fair job_men ps_lead el_brb
## 1636 imp_rlg dut_ill ps_arm job_men el_thr ps_lead
## 1804 imp_rlg ps_arm dut_chl el_fair el_thr men_lead
## 1822 imp_rlg ps_arm dut_chl job_men trs_ntn ps_lead
## 2269 dut_ill el_fair el_thr trs_ntn el_brb rel
## 1645 imp_rlg dut_ill ps_arm job_men ps_lead el_brb
## 1814 imp_rlg ps_arm dut_chl el_fair men_lead el_brb
## 2479 dut_chl el_thr trs_ntn men_lead el_brb rel
## 2470 dut_chl job_men el_thr men_lead el_brb rel
## 1842 imp_rlg ps_arm dut_chl trs_ntn ps_lead men_lead
## 1803 imp_rlg ps_arm dut_chl el_fair el_thr ps_lead
## 2506 job_men el_thr trs_ntn men_lead el_brb rel
## 2451 dut_chl el_fair el_thr trs_ntn el_brb rel
## 1735 imp_rlg dut_ill el_fair job_men ps_lead men_lead
## 1824 imp_rlg ps_arm dut_chl job_men trs_ntn el_brb
## 1817 imp_rlg ps_arm dut_chl job_men el_thr trs_ntn
## 2049 dut_ill ps_arm dut_chl el_fair job_men trs_ntn
## 1812 imp_rlg ps_arm dut_chl el_fair ps_lead el_brb
## 1595 imp_rlg dut_ill ps_arm dut_chl job_men ps_lead
## 1898 imp_rlg ps_arm job_men trs_ntn ps_lead el_brb
## 1644 imp_rlg dut_ill ps_arm job_men ps_lead men_lead
## 1887 imp_rlg ps_arm job_men el_thr trs_ntn ps_lead
## 2499 el_fair el_thr trs_ntn ps_lead el_brb rel
## 1672 imp_rlg dut_ill dut_chl el_fair job_men ps_lead
## 2109 dut_ill ps_arm el_fair job_men trs_ntn ps_lead
## 1854 imp_rlg ps_arm el_fair job_men el_thr men_lead
## 1867 imp_rlg ps_arm el_fair el_thr trs_ntn ps_lead
## 1654 imp_rlg dut_ill ps_arm el_thr ps_lead men_lead
## 1623 imp_rlg dut_ill ps_arm el_fair el_thr el_brb
## 1608 imp_rlg dut_ill ps_arm dut_chl ps_lead men_lead
## 1864 imp_rlg ps_arm el_fair job_men men_lead el_brb
## 1666 imp_rlg dut_ill ps_arm ps_lead men_lead el_brb
## 2500 el_fair el_thr trs_ntn men_lead el_brb rel
## 1897 imp_rlg ps_arm job_men trs_ntn ps_lead men_lead
## 1845 imp_rlg ps_arm dut_chl trs_ntn men_lead el_brb
## 1871 imp_rlg ps_arm el_fair el_thr ps_lead men_lead
## 1878 imp_rlg ps_arm el_fair trs_ntn ps_lead el_brb
## 1833 imp_rlg ps_arm dut_chl el_thr trs_ntn men_lead
## 2060 dut_ill ps_arm dut_chl el_fair trs_ntn men_lead
## 1883 imp_rlg ps_arm el_fair ps_lead men_lead el_brb
## 1652 imp_rlg dut_ill ps_arm el_thr trs_ntn el_brb
## 1727 imp_rlg dut_ill el_fair job_men el_thr ps_lead
## 1685 imp_rlg dut_ill dut_chl el_fair ps_lead men_lead
## 1832 imp_rlg ps_arm dut_chl el_thr trs_ntn ps_lead
## 1927 imp_rlg dut_chl el_fair job_men trs_ntn ps_lead
## 1843 imp_rlg ps_arm dut_chl trs_ntn ps_lead el_brb
## 1823 imp_rlg ps_arm dut_chl job_men trs_ntn men_lead
## 2110 dut_ill ps_arm el_fair job_men trs_ntn men_lead
## 1593 imp_rlg dut_ill ps_arm dut_chl job_men el_thr
## 1597 imp_rlg dut_ill ps_arm dut_chl job_men el_brb
## 1600 imp_rlg dut_ill ps_arm dut_chl el_thr ps_lead
## 1681 imp_rlg dut_ill dut_chl el_fair trs_ntn ps_lead
## 1637 imp_rlg dut_ill ps_arm job_men el_thr men_lead
## 1647 imp_rlg dut_ill ps_arm job_men men_lead el_brb
## 1609 imp_rlg dut_ill ps_arm dut_chl ps_lead el_brb
## 1947 imp_rlg dut_chl el_fair trs_ntn ps_lead men_lead
## 1638 imp_rlg dut_ill ps_arm job_men el_thr el_brb
## 1900 imp_rlg ps_arm job_men trs_ntn men_lead el_brb
## 1736 imp_rlg dut_ill el_fair job_men ps_lead el_brb
## 2050 dut_ill ps_arm dut_chl el_fair job_men ps_lead
## 1888 imp_rlg ps_arm job_men el_thr trs_ntn men_lead
## 1917 imp_rlg ps_arm trs_ntn ps_lead men_lead el_brb
## 2104 dut_ill ps_arm el_fair job_men el_thr trs_ntn
## 1601 imp_rlg dut_ill ps_arm dut_chl el_thr men_lead
## 1611 imp_rlg dut_ill ps_arm dut_chl men_lead el_brb
## 2002 imp_rlg el_fair job_men trs_ntn ps_lead men_lead
## 1907 imp_rlg ps_arm el_thr trs_ntn ps_lead men_lead
## 1732 imp_rlg dut_ill el_fair job_men trs_ntn men_lead
## 2129 dut_ill ps_arm el_fair trs_ntn ps_lead men_lead
## 1761 imp_rlg dut_ill job_men el_thr trs_ntn ps_lead
## 2059 dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead
## 1855 imp_rlg ps_arm el_fair job_men el_thr el_brb
## 1889 imp_rlg ps_arm job_men el_thr trs_ntn el_brb
## 2111 dut_ill ps_arm el_fair job_men trs_ntn el_brb
## 1745 imp_rlg dut_ill el_fair el_thr ps_lead men_lead
## 1596 imp_rlg dut_ill ps_arm dut_chl job_men men_lead
## 1671 imp_rlg dut_ill dut_chl el_fair job_men trs_ntn
## 2063 dut_ill ps_arm dut_chl el_fair ps_lead men_lead
## 2113 dut_ill ps_arm el_fair job_men ps_lead men_lead
## 1772 imp_rlg dut_ill job_men trs_ntn ps_lead el_brb
## 1827 imp_rlg ps_arm dut_chl job_men ps_lead el_brb
## 1726 imp_rlg dut_ill el_fair job_men el_thr trs_ntn
## 2051 dut_ill ps_arm dut_chl el_fair job_men men_lead
## 2305 ps_arm dut_chl el_fair job_men trs_ntn ps_lead
## 1818 imp_rlg ps_arm dut_chl job_men el_thr ps_lead
## 1757 imp_rlg dut_ill el_fair ps_lead men_lead el_brb
## 1657 imp_rlg dut_ill ps_arm el_thr men_lead el_brb
## 1682 imp_rlg dut_ill dut_chl el_fair trs_ntn men_lead
## 1771 imp_rlg dut_ill job_men trs_ntn ps_lead men_lead
## 1931 imp_rlg dut_chl el_fair job_men ps_lead men_lead
## 1655 imp_rlg dut_ill ps_arm el_thr ps_lead el_brb
## 1992 imp_rlg el_fair job_men el_thr trs_ntn ps_lead
## 1834 imp_rlg ps_arm dut_chl el_thr trs_ntn el_brb
## 1805 imp_rlg ps_arm dut_chl el_fair el_thr el_brb
## 2048 dut_ill ps_arm dut_chl el_fair job_men el_thr
## 2105 dut_ill ps_arm el_fair job_men el_thr ps_lead
## 1741 imp_rlg dut_ill el_fair el_thr trs_ntn ps_lead
## 1696 imp_rlg dut_ill dut_chl job_men trs_ntn ps_lead
## 2306 ps_arm dut_chl el_fair job_men trs_ntn men_lead
## 1848 imp_rlg ps_arm dut_chl ps_lead men_lead el_brb
## 1781 imp_rlg dut_ill el_thr trs_ntn ps_lead men_lead
## 1733 imp_rlg dut_ill el_fair job_men trs_ntn el_brb
## 2003 imp_rlg el_fair job_men trs_ntn ps_lead el_brb
## 2120 dut_ill ps_arm el_fair el_thr trs_ntn men_lead
## 2054 dut_ill ps_arm dut_chl el_fair el_thr trs_ntn
## 1836 imp_rlg ps_arm dut_chl el_thr ps_lead men_lead
## 2325 ps_arm dut_chl el_fair trs_ntn ps_lead men_lead
## 1826 imp_rlg ps_arm dut_chl job_men ps_lead men_lead
## 1602 imp_rlg dut_ill ps_arm dut_chl el_thr el_brb
## 1869 imp_rlg ps_arm el_fair el_thr trs_ntn el_brb
## 2114 dut_ill ps_arm el_fair job_men ps_lead el_brb
## 2052 dut_ill ps_arm dut_chl el_fair job_men el_brb
## 1716 imp_rlg dut_ill dut_chl trs_ntn ps_lead men_lead
## 1874 imp_rlg ps_arm el_fair el_thr men_lead el_brb
## 1923 imp_rlg dut_chl el_fair job_men el_thr ps_lead
## 1910 imp_rlg ps_arm el_thr trs_ntn men_lead el_brb
## 1791 imp_rlg dut_ill trs_ntn ps_lead men_lead el_brb
## 2132 dut_ill ps_arm el_fair trs_ntn men_lead el_brb
## 1752 imp_rlg dut_ill el_fair trs_ntn ps_lead el_brb
## 1903 imp_rlg ps_arm job_men ps_lead men_lead el_brb
## 1677 imp_rlg dut_ill dut_chl el_fair el_thr ps_lead
## 2300 ps_arm dut_chl el_fair job_men el_thr trs_ntn
## 2061 dut_ill ps_arm dut_chl el_fair trs_ntn el_brb
## 2106 dut_ill ps_arm el_fair job_men el_thr men_lead
## 1742 imp_rlg dut_ill el_fair el_thr trs_ntn men_lead
## 2056 dut_ill ps_arm dut_chl el_fair el_thr men_lead
## 1891 imp_rlg ps_arm job_men el_thr ps_lead men_lead
## 1829 imp_rlg ps_arm dut_chl job_men men_lead el_brb
## 2307 ps_arm dut_chl el_fair job_men trs_ntn el_brb
## 1932 imp_rlg dut_chl el_fair job_men ps_lead el_brb
## 2116 dut_ill ps_arm el_fair job_men men_lead el_brb
## 1673 imp_rlg dut_ill dut_chl el_fair job_men men_lead
## 1928 imp_rlg dut_chl el_fair job_men trs_ntn men_lead
## 2066 dut_ill ps_arm dut_chl el_fair men_lead el_brb
## 1819 imp_rlg ps_arm dut_chl job_men el_thr men_lead
## 1892 imp_rlg ps_arm job_men el_thr ps_lead el_brb
## 1728 imp_rlg dut_ill el_fair job_men el_thr men_lead
## 1820 imp_rlg ps_arm dut_chl job_men el_thr el_brb
## 1686 imp_rlg dut_ill dut_chl el_fair ps_lead el_brb
## 1941 imp_rlg dut_chl el_fair el_thr ps_lead men_lead
## 1765 imp_rlg dut_ill job_men el_thr ps_lead men_lead
## 1706 imp_rlg dut_ill dut_chl el_thr trs_ntn ps_lead
## 1957 imp_rlg dut_chl job_men el_thr trs_ntn ps_lead
## 1754 imp_rlg dut_ill el_fair trs_ntn men_lead el_brb
## 1692 imp_rlg dut_ill dut_chl job_men el_thr ps_lead
## 2012 imp_rlg el_fair el_thr trs_ntn ps_lead men_lead
## 1996 imp_rlg el_fair job_men el_thr ps_lead men_lead
## 1670 imp_rlg dut_ill dut_chl el_fair job_men el_thr
## 2069 dut_ill ps_arm dut_chl job_men el_thr trs_ntn
## 2139 dut_ill ps_arm job_men el_thr trs_ntn ps_lead
## 2123 dut_ill ps_arm el_fair el_thr ps_lead men_lead
## 2316 ps_arm dut_chl el_fair el_thr trs_ntn men_lead
## 2309 ps_arm dut_chl el_fair job_men ps_lead men_lead
## 1937 imp_rlg dut_chl el_fair el_thr trs_ntn ps_lead
## 2055 dut_ill ps_arm dut_chl el_fair el_thr ps_lead
## 1777 imp_rlg dut_ill job_men ps_lead men_lead el_brb
## 1968 imp_rlg dut_chl job_men trs_ntn ps_lead el_brb
## 2076 dut_ill ps_arm dut_chl job_men trs_ntn el_brb
## 2150 dut_ill ps_arm job_men trs_ntn ps_lead el_brb
## 1953 imp_rlg dut_chl el_fair ps_lead men_lead el_brb
## 2074 dut_ill ps_arm dut_chl job_men trs_ntn ps_lead
## 1908 imp_rlg ps_arm el_thr trs_ntn ps_lead el_brb
## 2022 imp_rlg el_fair trs_ntn ps_lead men_lead el_brb
## 1738 imp_rlg dut_ill el_fair job_men men_lead el_brb
## 1922 imp_rlg dut_chl el_fair job_men el_thr trs_ntn
## 2008 imp_rlg el_fair job_men ps_lead men_lead el_brb
## 1701 imp_rlg dut_ill dut_chl job_men ps_lead el_brb
## 1766 imp_rlg dut_ill job_men el_thr ps_lead el_brb
## 2380 ps_arm el_fair job_men trs_ntn ps_lead men_lead
## 2328 ps_arm dut_chl el_fair trs_ntn men_lead el_brb
## 2107 dut_ill ps_arm el_fair job_men el_thr el_brb
## 2135 dut_ill ps_arm el_fair ps_lead men_lead el_brb
## 1872 imp_rlg ps_arm el_fair el_thr ps_lead el_brb
## 1717 imp_rlg dut_ill dut_chl trs_ntn ps_lead el_brb
## 2064 dut_ill ps_arm dut_chl el_fair ps_lead el_brb
## 1762 imp_rlg dut_ill job_men el_thr trs_ntn men_lead
## 1839 imp_rlg ps_arm dut_chl el_thr men_lead el_brb
## 1837 imp_rlg ps_arm dut_chl el_thr ps_lead el_brb
## 2119 dut_ill ps_arm el_fair el_thr trs_ntn ps_lead
## 1967 imp_rlg dut_chl job_men trs_ntn ps_lead men_lead
## 1948 imp_rlg dut_chl el_fair trs_ntn ps_lead el_brb
## 1977 imp_rlg dut_chl el_thr trs_ntn ps_lead men_lead
## 1674 imp_rlg dut_ill dut_chl el_fair job_men el_brb
## 1710 imp_rlg dut_ill dut_chl el_thr ps_lead men_lead
## 1691 imp_rlg dut_ill dut_chl job_men el_thr trs_ntn
## 1678 imp_rlg dut_ill dut_chl el_fair el_thr men_lead
## 2027 imp_rlg job_men el_thr trs_ntn ps_lead men_lead
## 2301 ps_arm dut_chl el_fair job_men el_thr ps_lead
## 2179 dut_ill dut_chl el_fair job_men trs_ntn ps_lead
## 2140 dut_ill ps_arm job_men el_thr trs_ntn men_lead
## 1929 imp_rlg dut_chl el_fair job_men trs_ntn el_brb
## 2149 dut_ill ps_arm job_men trs_ntn ps_lead men_lead
## 1987 imp_rlg dut_chl trs_ntn ps_lead men_lead el_brb
## 2152 dut_ill ps_arm job_men trs_ntn men_lead el_brb
## 2037 imp_rlg job_men trs_ntn ps_lead men_lead el_brb
## 2094 dut_ill ps_arm dut_chl trs_ntn ps_lead men_lead
## 1700 imp_rlg dut_ill dut_chl job_men ps_lead men_lead
## 2085 dut_ill ps_arm dut_chl el_thr trs_ntn men_lead
## 2130 dut_ill ps_arm el_fair trs_ntn ps_lead el_brb
## 2310 ps_arm dut_chl el_fair job_men ps_lead el_brb
## 1894 imp_rlg ps_arm job_men el_thr men_lead el_brb
## 1774 imp_rlg dut_ill job_men trs_ntn men_lead el_brb
## 1676 imp_rlg dut_ill dut_chl el_fair el_thr trs_ntn
## 2141 dut_ill ps_arm job_men el_thr trs_ntn el_brb
## 1938 imp_rlg dut_chl el_fair el_thr trs_ntn men_lead
## 1722 imp_rlg dut_ill dut_chl ps_lead men_lead el_brb
## 2097 dut_ill ps_arm dut_chl trs_ntn men_lead el_brb
## 1993 imp_rlg el_fair job_men el_thr trs_ntn men_lead
## 2254 dut_ill el_fair job_men trs_ntn ps_lead men_lead
## 1729 imp_rlg dut_ill el_fair job_men el_thr el_brb
## 1763 imp_rlg dut_ill job_men el_thr trs_ntn el_brb
## 2075 dut_ill ps_arm dut_chl job_men trs_ntn men_lead
## 1913 imp_rlg ps_arm el_thr ps_lead men_lead el_brb
## 2370 ps_arm el_fair job_men el_thr trs_ntn ps_lead
## 1698 imp_rlg dut_ill dut_chl job_men trs_ntn el_brb
## 1688 imp_rlg dut_ill dut_chl el_fair men_lead el_brb
## 2084 dut_ill ps_arm dut_chl el_thr trs_ntn ps_lead
## 2381 ps_arm el_fair job_men trs_ntn ps_lead el_brb
## 2302 ps_arm dut_chl el_fair job_men el_thr men_lead
## 2005 imp_rlg el_fair job_men trs_ntn men_lead el_brb
## 2028 imp_rlg job_men el_thr trs_ntn ps_lead el_brb
## 1707 imp_rlg dut_ill dut_chl el_thr trs_ntn men_lead
## 1997 imp_rlg el_fair job_men el_thr ps_lead el_brb
## 1950 imp_rlg dut_chl el_fair trs_ntn men_lead el_brb
## 2371 ps_arm el_fair job_men el_thr trs_ntn men_lead
## 2315 ps_arm dut_chl el_fair el_thr trs_ntn ps_lead
## 2244 dut_ill el_fair job_men el_thr trs_ntn ps_lead
## 2199 dut_ill dut_chl el_fair trs_ntn ps_lead men_lead
## 2159 dut_ill ps_arm el_thr trs_ntn ps_lead men_lead
## 2312 ps_arm dut_chl el_fair job_men men_lead el_brb
## 1782 imp_rlg dut_ill el_thr trs_ntn ps_lead el_brb
## 1746 imp_rlg dut_ill el_fair el_thr ps_lead el_brb
## 1787 imp_rlg dut_ill el_thr ps_lead men_lead el_brb
## 2095 dut_ill ps_arm dut_chl trs_ntn ps_lead el_brb
## 2383 ps_arm el_fair job_men trs_ntn men_lead el_brb
## 2070 dut_ill ps_arm dut_chl job_men el_thr ps_lead
## 2169 dut_ill ps_arm trs_ntn ps_lead men_lead el_brb
## 2319 ps_arm dut_chl el_fair el_thr ps_lead men_lead
## 2079 dut_ill ps_arm dut_chl job_men ps_lead el_brb
## 1683 imp_rlg dut_ill dut_chl el_fair trs_ntn el_brb
## 2326 ps_arm dut_chl el_fair trs_ntn ps_lead el_brb
## 1697 imp_rlg dut_ill dut_chl job_men trs_ntn men_lead
## 2183 dut_ill dut_chl el_fair job_men ps_lead men_lead
## 2331 ps_arm dut_chl el_fair ps_lead men_lead el_brb
## 2346 ps_arm dut_chl job_men trs_ntn ps_lead el_brb
## 1719 imp_rlg dut_ill dut_chl trs_ntn men_lead el_brb
## 2126 dut_ill ps_arm el_fair el_thr men_lead el_brb
## 2335 ps_arm dut_chl job_men el_thr trs_ntn ps_lead
## 1924 imp_rlg dut_chl el_fair job_men el_thr men_lead
## 2255 dut_ill el_fair job_men trs_ntn ps_lead el_brb
## 2057 dut_ill ps_arm dut_chl el_fair el_thr el_brb
## 2175 dut_ill dut_chl el_fair job_men el_thr ps_lead
## 1961 imp_rlg dut_chl job_men el_thr ps_lead men_lead
## 2155 dut_ill ps_arm job_men ps_lead men_lead el_brb
## 2143 dut_ill ps_arm job_men el_thr ps_lead men_lead
## 1973 imp_rlg dut_chl job_men ps_lead men_lead el_brb
## 2121 dut_ill ps_arm el_fair el_thr trs_ntn el_brb
## 2303 ps_arm dut_chl el_fair job_men el_thr el_brb
## 2144 dut_ill ps_arm job_men el_thr ps_lead el_brb
## 1748 imp_rlg dut_ill el_fair el_thr men_lead el_brb
## 1934 imp_rlg dut_chl el_fair job_men men_lead el_brb
## 1784 imp_rlg dut_ill el_thr trs_ntn men_lead el_brb
## 2248 dut_ill el_fair job_men el_thr ps_lead men_lead
## 2086 dut_ill ps_arm dut_chl el_thr trs_ntn el_brb
## 2348 ps_arm dut_chl job_men trs_ntn men_lead el_brb
## 2088 dut_ill ps_arm dut_chl el_thr ps_lead men_lead
## 1994 imp_rlg el_fair job_men el_thr trs_ntn el_brb
## 2100 dut_ill ps_arm dut_chl ps_lead men_lead el_brb
## 1962 imp_rlg dut_chl job_men el_thr ps_lead el_brb
## 2162 dut_ill ps_arm el_thr trs_ntn men_lead el_brb
## 2072 dut_ill ps_arm dut_chl job_men el_thr el_brb
## 2184 dut_ill dut_chl el_fair job_men ps_lead el_brb
## 1958 imp_rlg dut_chl job_men el_thr trs_ntn men_lead
## 2081 dut_ill ps_arm dut_chl job_men men_lead el_brb
## 2078 dut_ill ps_arm dut_chl job_men ps_lead men_lead
## 2071 dut_ill ps_arm dut_chl job_men el_thr men_lead
## 2372 ps_arm el_fair job_men el_thr trs_ntn el_brb
## 1711 imp_rlg dut_ill dut_chl el_thr ps_lead el_brb
## 2436 dut_chl el_fair job_men trs_ntn ps_lead men_lead
## 2336 ps_arm dut_chl job_men el_thr trs_ntn men_lead
## 2337 ps_arm dut_chl job_men el_thr trs_ntn el_brb
## 2345 ps_arm dut_chl job_men trs_ntn ps_lead men_lead
## 2374 ps_arm el_fair job_men el_thr ps_lead men_lead
## 2365 ps_arm dut_chl trs_ntn ps_lead men_lead el_brb
## 1970 imp_rlg dut_chl job_men trs_ntn men_lead el_brb
## 2180 dut_ill dut_chl el_fair job_men trs_ntn men_lead
## 2386 ps_arm el_fair job_men ps_lead men_lead el_brb
## 2260 dut_ill el_fair job_men ps_lead men_lead el_brb
## 2355 ps_arm dut_chl el_thr trs_ntn ps_lead men_lead
## 1693 imp_rlg dut_ill dut_chl job_men el_thr men_lead
## 2042 imp_rlg el_thr trs_ntn ps_lead men_lead el_brb
## 2018 imp_rlg el_fair el_thr ps_lead men_lead el_brb
## 1978 imp_rlg dut_chl el_thr trs_ntn ps_lead el_brb
## 2174 dut_ill dut_chl el_fair job_men el_thr trs_ntn
## 2193 dut_ill dut_chl el_fair el_thr ps_lead men_lead
## 1959 imp_rlg dut_chl job_men el_thr trs_ntn el_brb
## 2390 ps_arm el_fair el_thr trs_ntn ps_lead men_lead
## 2317 ps_arm dut_chl el_fair el_thr trs_ntn el_brb
## 2209 dut_ill dut_chl job_men el_thr trs_ntn ps_lead
## 1768 imp_rlg dut_ill job_men el_thr men_lead el_brb
## 2426 dut_chl el_fair job_men el_thr trs_ntn ps_lead
## 2264 dut_ill el_fair el_thr trs_ntn ps_lead men_lead
## 1942 imp_rlg dut_chl el_fair el_thr ps_lead el_brb
## 2400 ps_arm el_fair trs_ntn ps_lead men_lead el_brb
## 2146 dut_ill ps_arm job_men el_thr men_lead el_brb
## 1694 imp_rlg dut_ill dut_chl job_men el_thr el_brb
## 1703 imp_rlg dut_ill dut_chl job_men men_lead el_brb
## 1925 imp_rlg dut_chl el_fair job_men el_thr el_brb
## 2124 dut_ill ps_arm el_fair el_thr ps_lead el_brb
## 2322 ps_arm dut_chl el_fair el_thr men_lead el_brb
## 2245 dut_ill el_fair job_men el_thr trs_ntn men_lead
## 2033 imp_rlg job_men el_thr ps_lead men_lead el_brb
## 1743 imp_rlg dut_ill el_fair el_thr trs_ntn el_brb
## 1983 imp_rlg dut_chl el_thr ps_lead men_lead el_brb
## 2205 dut_ill dut_chl el_fair ps_lead men_lead el_brb
## 2220 dut_ill dut_chl job_men trs_ntn ps_lead el_brb
## 2437 dut_chl el_fair job_men trs_ntn ps_lead el_brb
## 2249 dut_ill el_fair job_men el_thr ps_lead el_brb
## 2279 dut_ill job_men el_thr trs_ntn ps_lead men_lead
## 2091 dut_ill ps_arm dut_chl el_thr men_lead el_brb
## 2274 dut_ill el_fair trs_ntn ps_lead men_lead el_brb
## 2181 dut_ill dut_chl el_fair job_men trs_ntn el_brb
## 2415 ps_arm job_men trs_ntn ps_lead men_lead el_brb
## 1708 imp_rlg dut_ill dut_chl el_thr trs_ntn el_brb
## 2160 dut_ill ps_arm el_thr trs_ntn ps_lead el_brb
## 2358 ps_arm dut_chl el_thr trs_ntn men_lead el_brb
## 2030 imp_rlg job_men el_thr trs_ntn men_lead el_brb
## 2189 dut_ill dut_chl el_fair el_thr trs_ntn ps_lead
## 2257 dut_ill el_fair job_men trs_ntn men_lead el_brb
## 2375 ps_arm el_fair job_men el_thr ps_lead el_brb
## 2289 dut_ill job_men trs_ntn ps_lead men_lead el_brb
## 2405 ps_arm job_men el_thr trs_ntn ps_lead men_lead
## 2089 dut_ill ps_arm dut_chl el_thr ps_lead el_brb
## 1999 imp_rlg el_fair job_men el_thr men_lead el_brb
## 1679 imp_rlg dut_ill dut_chl el_fair el_thr el_brb
## 1980 imp_rlg dut_chl el_thr trs_ntn men_lead el_brb
## 2280 dut_ill job_men el_thr trs_ntn ps_lead el_brb
## 2165 dut_ill ps_arm el_thr ps_lead men_lead el_brb
## 2190 dut_ill dut_chl el_fair el_thr trs_ntn men_lead
## 1944 imp_rlg dut_chl el_fair el_thr men_lead el_brb
## 2351 ps_arm dut_chl job_men ps_lead men_lead el_brb
## 2229 dut_ill dut_chl el_thr trs_ntn ps_lead men_lead
## 2015 imp_rlg el_fair el_thr trs_ntn men_lead el_brb
## 2446 dut_chl el_fair el_thr trs_ntn ps_lead men_lead
## 2406 ps_arm job_men el_thr trs_ntn ps_lead el_brb
## 1713 imp_rlg dut_ill dut_chl el_thr men_lead el_brb
## 2219 dut_ill dut_chl job_men trs_ntn ps_lead men_lead
## 2176 dut_ill dut_chl el_fair job_men el_thr men_lead
## 2430 dut_chl el_fair job_men el_thr ps_lead men_lead
## 2377 ps_arm el_fair job_men el_thr men_lead el_brb
## 2340 ps_arm dut_chl job_men el_thr ps_lead el_brb
## 2013 imp_rlg el_fair el_thr trs_ntn ps_lead el_brb
## 2339 ps_arm dut_chl job_men el_thr ps_lead men_lead
## 2200 dut_ill dut_chl el_fair trs_ntn ps_lead el_brb
## 2320 ps_arm dut_chl el_fair el_thr ps_lead el_brb
## 2239 dut_ill dut_chl trs_ntn ps_lead men_lead el_brb
## 2456 dut_chl el_fair trs_ntn ps_lead men_lead el_brb
## 2246 dut_ill el_fair job_men el_thr trs_ntn el_brb
## 2442 dut_chl el_fair job_men ps_lead men_lead el_brb
## 2202 dut_ill dut_chl el_fair trs_ntn men_lead el_brb
## 2408 ps_arm job_men el_thr trs_ntn men_lead el_brb
## 1939 imp_rlg dut_chl el_fair el_thr trs_ntn el_brb
## 2393 ps_arm el_fair el_thr trs_ntn men_lead el_brb
## 2356 ps_arm dut_chl el_thr trs_ntn ps_lead el_brb
## 2482 el_fair job_men el_thr trs_ntn ps_lead men_lead
## 2186 dut_ill dut_chl el_fair job_men men_lead el_brb
## 2213 dut_ill dut_chl job_men el_thr ps_lead men_lead
## 2427 dut_chl el_fair job_men el_thr trs_ntn men_lead
## 2214 dut_ill dut_chl job_men el_thr ps_lead el_brb
## 2492 el_fair job_men trs_ntn ps_lead men_lead el_brb
## 2225 dut_ill dut_chl job_men ps_lead men_lead el_brb
## 2342 ps_arm dut_chl job_men el_thr men_lead el_brb
## 2210 dut_ill dut_chl job_men el_thr trs_ntn men_lead
## 1964 imp_rlg dut_chl job_men el_thr men_lead el_brb
## 2177 dut_ill dut_chl el_fair job_men el_thr el_brb
## 2461 dut_chl job_men el_thr trs_ntn ps_lead men_lead
## 2439 dut_chl el_fair job_men trs_ntn men_lead el_brb
## 2270 dut_ill el_fair el_thr ps_lead men_lead el_brb
## 2431 dut_chl el_fair job_men el_thr ps_lead el_brb
## 2471 dut_chl job_men trs_ntn ps_lead men_lead el_brb
## 2285 dut_ill job_men el_thr ps_lead men_lead el_brb
## 2211 dut_ill dut_chl job_men el_thr trs_ntn el_brb
## 2361 ps_arm dut_chl el_thr ps_lead men_lead el_brb
## 2251 dut_ill el_fair job_men el_thr men_lead el_brb
## 2222 dut_ill dut_chl job_men trs_ntn men_lead el_brb
## 2462 dut_chl job_men el_thr trs_ntn ps_lead el_brb
## 2294 dut_ill el_thr trs_ntn ps_lead men_lead el_brb
## 2282 dut_ill job_men el_thr trs_ntn men_lead el_brb
## 2396 ps_arm el_fair el_thr ps_lead men_lead el_brb
## 2483 el_fair job_men el_thr trs_ntn ps_lead el_brb
## 2194 dut_ill dut_chl el_fair el_thr ps_lead el_brb
## 2428 dut_chl el_fair job_men el_thr trs_ntn el_brb
## 2235 dut_ill dut_chl el_thr ps_lead men_lead el_brb
## 2411 ps_arm job_men el_thr ps_lead men_lead el_brb
## 2420 ps_arm el_thr trs_ntn ps_lead men_lead el_brb
## 2230 dut_ill dut_chl el_thr trs_ntn ps_lead el_brb
## 2267 dut_ill el_fair el_thr trs_ntn men_lead el_brb
## 2196 dut_ill dut_chl el_fair el_thr men_lead el_brb
## 2452 dut_chl el_fair el_thr ps_lead men_lead el_brb
## 2232 dut_ill dut_chl el_thr trs_ntn men_lead el_brb
## 2476 dut_chl el_thr trs_ntn ps_lead men_lead el_brb
## 2488 el_fair job_men el_thr ps_lead men_lead el_brb
## 2265 dut_ill el_fair el_thr trs_ntn ps_lead el_brb
## 2391 ps_arm el_fair el_thr trs_ntn ps_lead el_brb
## 2503 job_men el_thr trs_ntn ps_lead men_lead el_brb
## 2216 dut_ill dut_chl job_men el_thr men_lead el_brb
## 2467 dut_chl job_men el_thr ps_lead men_lead el_brb
## 2433 dut_chl el_fair job_men el_thr men_lead el_brb
## 2449 dut_chl el_fair el_thr trs_ntn men_lead el_brb
## 2191 dut_ill dut_chl el_fair el_thr trs_ntn el_brb
## 2464 dut_chl job_men el_thr trs_ntn men_lead el_brb
## 2485 el_fair job_men el_thr trs_ntn men_lead el_brb
## 2447 dut_chl el_fair el_thr trs_ntn ps_lead el_brb
## 2497 el_fair el_thr trs_ntn ps_lead men_lead el_brb
## 2593 imp_rlg dut_ill ps_arm el_fair trs_ntn ps_lead rel
## 2574 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn rel
## 2595 imp_rlg dut_ill ps_arm el_fair trs_ntn men_lead rel
## 2524 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn rel
## 2577 imp_rlg dut_ill ps_arm el_fair job_men ps_lead rel
## 2598 imp_rlg dut_ill ps_arm el_fair ps_lead men_lead rel
## 2527 imp_rlg dut_ill ps_arm dut_chl el_fair ps_lead rel
## 2529 imp_rlg dut_ill ps_arm dut_chl el_fair men_lead rel
## 2789 imp_rlg ps_arm dut_chl el_fair trs_ntn ps_lead rel
## 2515 imp_rlg dut_ill ps_arm dut_chl el_fair job_men rel
## 2791 imp_rlg ps_arm dut_chl el_fair trs_ntn men_lead rel
## 2584 imp_rlg dut_ill ps_arm el_fair el_thr trs_ntn rel
## 2579 imp_rlg dut_ill ps_arm el_fair job_men men_lead rel
## 2770 imp_rlg ps_arm dut_chl el_fair job_men trs_ntn rel
## 2596 imp_rlg dut_ill ps_arm el_fair trs_ntn el_brb rel
## 2844 imp_rlg ps_arm el_fair job_men trs_ntn ps_lead rel
## 2587 imp_rlg dut_ill ps_arm el_fair el_thr ps_lead rel
## 2570 imp_rlg dut_ill ps_arm el_fair job_men el_thr rel
## 2599 imp_rlg dut_ill ps_arm el_fair ps_lead el_brb rel
## 2580 imp_rlg dut_ill ps_arm el_fair job_men el_brb rel
## 2863 imp_rlg ps_arm el_fair trs_ntn ps_lead men_lead rel
## 2589 imp_rlg dut_ill ps_arm el_fair el_thr men_lead rel
## 2794 imp_rlg ps_arm dut_chl el_fair ps_lead men_lead rel
## 2600 imp_rlg dut_ill ps_arm el_fair men_lead el_brb rel
## 2773 imp_rlg ps_arm dut_chl el_fair job_men ps_lead rel
## 2520 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr rel
## 2530 imp_rlg dut_ill ps_arm dut_chl el_fair el_brb rel
## 2846 imp_rlg ps_arm el_fair job_men trs_ntn men_lead rel
## 2780 imp_rlg ps_arm dut_chl el_fair el_thr trs_ntn rel
## 2792 imp_rlg ps_arm dut_chl el_fair trs_ntn el_brb rel
## 2835 imp_rlg ps_arm el_fair job_men el_thr trs_ntn rel
## 2849 imp_rlg ps_arm el_fair job_men ps_lead men_lead rel
## 2847 imp_rlg ps_arm el_fair job_men trs_ntn el_brb rel
## 2775 imp_rlg ps_arm dut_chl el_fair job_men men_lead rel
## 2783 imp_rlg ps_arm dut_chl el_fair el_thr ps_lead rel
## 2795 imp_rlg ps_arm dut_chl el_fair ps_lead el_brb rel
## 2856 imp_rlg ps_arm el_fair el_thr trs_ntn men_lead rel
## 2865 imp_rlg ps_arm el_fair trs_ntn men_lead el_brb rel
## 2785 imp_rlg ps_arm dut_chl el_fair el_thr men_lead rel
## 2766 imp_rlg ps_arm dut_chl el_fair job_men el_thr rel
## 2796 imp_rlg ps_arm dut_chl el_fair men_lead el_brb rel
## 2776 imp_rlg ps_arm dut_chl el_fair job_men el_brb rel
## 2590 imp_rlg dut_ill ps_arm el_fair el_thr el_brb rel
## 2838 imp_rlg ps_arm el_fair job_men el_thr ps_lead rel
## 2850 imp_rlg ps_arm el_fair job_men ps_lead el_brb rel
## 2613 imp_rlg dut_ill ps_arm job_men trs_ntn ps_lead rel
## 2854 imp_rlg ps_arm el_fair el_thr trs_ntn ps_lead rel
## 2864 imp_rlg ps_arm el_fair trs_ntn ps_lead el_brb rel
## 2633 imp_rlg dut_ill ps_arm trs_ntn ps_lead el_brb rel
## 2632 imp_rlg dut_ill ps_arm trs_ntn ps_lead men_lead rel
## 2616 imp_rlg dut_ill ps_arm job_men trs_ntn el_brb rel
## 2623 imp_rlg dut_ill ps_arm el_thr trs_ntn ps_lead rel
## 2859 imp_rlg ps_arm el_fair el_thr ps_lead men_lead rel
## 2866 imp_rlg ps_arm el_fair ps_lead men_lead el_brb rel
## 2558 imp_rlg dut_ill ps_arm dut_chl trs_ntn ps_lead rel
## 2604 imp_rlg dut_ill ps_arm job_men el_thr trs_ntn rel
## 2634 imp_rlg dut_ill ps_arm trs_ntn men_lead el_brb rel
## 2561 imp_rlg dut_ill ps_arm dut_chl trs_ntn el_brb rel
## 2625 imp_rlg dut_ill ps_arm el_thr trs_ntn men_lead rel
## 2549 imp_rlg dut_ill ps_arm dut_chl el_thr trs_ntn rel
## 2980 dut_ill ps_arm dut_chl el_fair job_men trs_ntn rel
## 3054 dut_ill ps_arm el_fair job_men trs_ntn ps_lead rel
## 3001 dut_ill ps_arm dut_chl el_fair trs_ntn men_lead rel
## 2851 imp_rlg ps_arm el_fair job_men men_lead el_brb rel
## 2840 imp_rlg ps_arm el_fair job_men el_thr men_lead rel
## 2619 imp_rlg dut_ill ps_arm job_men ps_lead el_brb rel
## 2999 dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead rel
## 2560 imp_rlg dut_ill ps_arm dut_chl trs_ntn men_lead rel
## 2539 imp_rlg dut_ill ps_arm dut_chl job_men trs_ntn rel
## 2983 dut_ill ps_arm dut_chl el_fair job_men ps_lead rel
## 2607 imp_rlg dut_ill ps_arm job_men el_thr ps_lead rel
## 3004 dut_ill ps_arm dut_chl el_fair ps_lead men_lead rel
## 2635 imp_rlg dut_ill ps_arm ps_lead men_lead el_brb rel
## 3073 dut_ill ps_arm el_fair trs_ntn ps_lead men_lead rel
## 2615 imp_rlg dut_ill ps_arm job_men trs_ntn men_lead rel
## 2786 imp_rlg ps_arm dut_chl el_fair el_thr el_brb rel
## 2564 imp_rlg dut_ill ps_arm dut_chl ps_lead el_brb rel
## 2626 imp_rlg dut_ill ps_arm el_thr trs_ntn el_brb rel
## 3056 dut_ill ps_arm el_fair job_men trs_ntn men_lead rel
## 2829 imp_rlg ps_arm dut_chl trs_ntn ps_lead el_brb rel
## 2628 imp_rlg dut_ill ps_arm el_thr ps_lead men_lead rel
## 2552 imp_rlg dut_ill ps_arm dut_chl el_thr ps_lead rel
## 2841 imp_rlg ps_arm el_fair job_men el_thr el_brb rel
## 3045 dut_ill ps_arm el_fair job_men el_thr trs_ntn rel
## 2879 imp_rlg ps_arm job_men trs_ntn ps_lead el_brb rel
## 2819 imp_rlg ps_arm dut_chl el_thr trs_ntn ps_lead rel
## 3059 dut_ill ps_arm el_fair job_men ps_lead men_lead rel
## 2812 imp_rlg ps_arm dut_chl job_men trs_ntn el_brb rel
## 2828 imp_rlg ps_arm dut_chl trs_ntn ps_lead men_lead rel
## 3057 dut_ill ps_arm el_fair job_men trs_ntn el_brb rel
## 2809 imp_rlg ps_arm dut_chl job_men trs_ntn ps_lead rel
## 2830 imp_rlg ps_arm dut_chl trs_ntn men_lead el_brb rel
## 2990 dut_ill ps_arm dut_chl el_fair el_thr trs_ntn rel
## 2857 imp_rlg ps_arm el_fair el_thr trs_ntn el_brb rel
## 2542 imp_rlg dut_ill ps_arm dut_chl job_men ps_lead rel
## 2563 imp_rlg dut_ill ps_arm dut_chl ps_lead men_lead rel
## 2985 dut_ill ps_arm dut_chl el_fair job_men men_lead rel
## 2545 imp_rlg dut_ill ps_arm dut_chl job_men el_brb rel
## 3048 dut_ill ps_arm el_fair job_men el_thr ps_lead rel
## 2618 imp_rlg dut_ill ps_arm job_men ps_lead men_lead rel
## 3002 dut_ill ps_arm dut_chl el_fair trs_ntn el_brb rel
## 2976 dut_ill ps_arm dut_chl el_fair job_men el_thr rel
## 2861 imp_rlg ps_arm el_fair el_thr men_lead el_brb rel
## 2629 imp_rlg dut_ill ps_arm el_thr ps_lead el_brb rel
## 3060 dut_ill ps_arm el_fair job_men ps_lead el_brb rel
## 2565 imp_rlg dut_ill ps_arm dut_chl men_lead el_brb rel
## 2869 imp_rlg ps_arm job_men el_thr trs_ntn ps_lead rel
## 3194 ps_arm dut_chl el_fair job_men trs_ntn ps_lead rel
## 2800 imp_rlg ps_arm dut_chl job_men el_thr trs_ntn rel
## 2610 imp_rlg dut_ill ps_arm job_men el_thr el_brb rel
## 2986 dut_ill ps_arm dut_chl el_fair job_men el_brb rel
## 2887 imp_rlg ps_arm trs_ntn ps_lead men_lead el_brb rel
## 2620 imp_rlg dut_ill ps_arm job_men men_lead el_brb rel
## 2993 dut_ill ps_arm dut_chl el_fair el_thr ps_lead rel
## 3066 dut_ill ps_arm el_fair el_thr trs_ntn men_lead rel
## 3213 ps_arm dut_chl el_fair trs_ntn ps_lead men_lead rel
## 2821 imp_rlg ps_arm dut_chl el_thr trs_ntn men_lead rel
## 2535 imp_rlg dut_ill ps_arm dut_chl job_men el_thr rel
## 2995 dut_ill ps_arm dut_chl el_fair el_thr men_lead rel
## 2860 imp_rlg ps_arm el_fair el_thr ps_lead el_brb rel
## 3075 dut_ill ps_arm el_fair trs_ntn men_lead el_brb rel
## 3005 dut_ill ps_arm dut_chl el_fair ps_lead el_brb rel
## 3006 dut_ill ps_arm dut_chl el_fair men_lead el_brb rel
## 2554 imp_rlg dut_ill ps_arm dut_chl el_thr men_lead rel
## 2609 imp_rlg dut_ill ps_arm job_men el_thr men_lead rel
## 3069 dut_ill ps_arm el_fair el_thr ps_lead men_lead rel
## 2883 imp_rlg ps_arm el_thr trs_ntn ps_lead men_lead rel
## 2630 imp_rlg dut_ill ps_arm el_thr men_lead el_brb rel
## 2878 imp_rlg ps_arm job_men trs_ntn ps_lead men_lead rel
## 2555 imp_rlg dut_ill ps_arm dut_chl el_thr el_brb rel
## 3076 dut_ill ps_arm el_fair ps_lead men_lead el_brb rel
## 2815 imp_rlg ps_arm dut_chl job_men ps_lead el_brb rel
## 2822 imp_rlg ps_arm dut_chl el_thr trs_ntn el_brb rel
## 2880 imp_rlg ps_arm job_men trs_ntn men_lead el_brb rel
## 3050 dut_ill ps_arm el_fair job_men el_thr men_lead rel
## 3196 ps_arm dut_chl el_fair job_men trs_ntn men_lead rel
## 3064 dut_ill ps_arm el_fair el_thr trs_ntn ps_lead rel
## 2831 imp_rlg ps_arm dut_chl ps_lead men_lead el_brb rel
## 3061 dut_ill ps_arm el_fair job_men men_lead el_brb rel
## 3074 dut_ill ps_arm el_fair trs_ntn ps_lead el_brb rel
## 2872 imp_rlg ps_arm job_men el_thr trs_ntn el_brb rel
## 3185 ps_arm dut_chl el_fair job_men el_thr trs_ntn rel
## 3197 ps_arm dut_chl el_fair job_men trs_ntn el_brb rel
## 2811 imp_rlg ps_arm dut_chl job_men trs_ntn men_lead rel
## 2803 imp_rlg ps_arm dut_chl job_men el_thr ps_lead rel
## 2871 imp_rlg ps_arm job_men el_thr trs_ntn men_lead rel
## 3206 ps_arm dut_chl el_fair el_thr trs_ntn men_lead rel
## 3215 ps_arm dut_chl el_fair trs_ntn men_lead el_brb rel
## 3199 ps_arm dut_chl el_fair job_men ps_lead men_lead rel
## 2824 imp_rlg ps_arm dut_chl el_thr ps_lead men_lead rel
## 3051 dut_ill ps_arm el_fair job_men el_thr el_brb rel
## 2544 imp_rlg dut_ill ps_arm dut_chl job_men men_lead rel
## 3188 ps_arm dut_chl el_fair job_men el_thr ps_lead rel
## 3200 ps_arm dut_chl el_fair job_men ps_lead el_brb rel
## 3204 ps_arm dut_chl el_fair el_thr trs_ntn ps_lead rel
## 2885 imp_rlg ps_arm el_thr trs_ntn men_lead el_brb rel
## 3214 ps_arm dut_chl el_fair trs_ntn ps_lead el_brb rel
## 2881 imp_rlg ps_arm job_men ps_lead men_lead el_brb rel
## 2825 imp_rlg ps_arm dut_chl el_thr ps_lead el_brb rel
## 2996 dut_ill ps_arm dut_chl el_fair el_thr el_brb rel
## 2884 imp_rlg ps_arm el_thr trs_ntn ps_lead el_brb rel
## 3216 ps_arm dut_chl el_fair ps_lead men_lead el_brb rel
## 3209 ps_arm dut_chl el_fair el_thr ps_lead men_lead rel
## 3249 ps_arm el_fair job_men trs_ntn ps_lead men_lead rel
## 2875 imp_rlg ps_arm job_men el_thr ps_lead el_brb rel
## 2816 imp_rlg ps_arm dut_chl job_men men_lead el_brb rel
## 3071 dut_ill ps_arm el_fair el_thr men_lead el_brb rel
## 2814 imp_rlg ps_arm dut_chl job_men ps_lead men_lead rel
## 2806 imp_rlg ps_arm dut_chl job_men el_thr el_brb rel
## 2874 imp_rlg ps_arm job_men el_thr ps_lead men_lead rel
## 3067 dut_ill ps_arm el_fair el_thr trs_ntn el_brb rel
## 2826 imp_rlg ps_arm dut_chl el_thr men_lead el_brb rel
## 3201 ps_arm dut_chl el_fair job_men men_lead el_brb rel
## 3190 ps_arm dut_chl el_fair job_men el_thr men_lead rel
## 3250 ps_arm el_fair job_men trs_ntn ps_lead el_brb rel
## 3240 ps_arm el_fair job_men el_thr trs_ntn ps_lead rel
## 3089 dut_ill ps_arm job_men trs_ntn ps_lead el_brb rel
## 3070 dut_ill ps_arm el_fair el_thr ps_lead el_brb rel
## 2886 imp_rlg ps_arm el_thr ps_lead men_lead el_brb rel
## 3022 dut_ill ps_arm dut_chl job_men trs_ntn el_brb rel
## 2805 imp_rlg ps_arm dut_chl job_men el_thr men_lead rel
## 2718 imp_rlg dut_ill el_fair job_men trs_ntn ps_lead rel
## 3079 dut_ill ps_arm job_men el_thr trs_ntn ps_lead rel
## 3039 dut_ill ps_arm dut_chl trs_ntn ps_lead el_brb rel
## 3191 ps_arm dut_chl el_fair job_men el_thr el_brb rel
## 3010 dut_ill ps_arm dut_chl job_men el_thr trs_ntn rel
## 3251 ps_arm el_fair job_men trs_ntn men_lead el_brb rel
## 3040 dut_ill ps_arm dut_chl trs_ntn men_lead el_brb rel
## 3242 ps_arm el_fair job_men el_thr trs_ntn men_lead rel
## 3029 dut_ill ps_arm dut_chl el_thr trs_ntn ps_lead rel
## 3207 ps_arm dut_chl el_fair el_thr trs_ntn el_brb rel
## 2737 imp_rlg dut_ill el_fair trs_ntn ps_lead men_lead rel
## 3097 dut_ill ps_arm trs_ntn ps_lead men_lead el_brb rel
## 3019 dut_ill ps_arm dut_chl job_men trs_ntn ps_lead rel
## 2876 imp_rlg ps_arm job_men el_thr men_lead el_brb rel
## 3082 dut_ill ps_arm job_men el_thr trs_ntn el_brb rel
## 3031 dut_ill ps_arm dut_chl el_thr trs_ntn men_lead rel
## 3211 ps_arm dut_chl el_fair el_thr men_lead el_brb rel
## 3025 dut_ill ps_arm dut_chl job_men ps_lead el_brb rel
## 3090 dut_ill ps_arm job_men trs_ntn men_lead el_brb rel
## 3258 ps_arm el_fair trs_ntn ps_lead men_lead el_brb rel
## 3252 ps_arm el_fair job_men ps_lead men_lead el_brb rel
## 3254 ps_arm el_fair el_thr trs_ntn ps_lead men_lead rel
## 3038 dut_ill ps_arm dut_chl trs_ntn ps_lead men_lead rel
## 2723 imp_rlg dut_ill el_fair job_men ps_lead men_lead rel
## 3245 ps_arm el_fair job_men el_thr ps_lead men_lead rel
## 3093 dut_ill ps_arm el_thr trs_ntn ps_lead men_lead rel
## 3210 ps_arm dut_chl el_fair el_thr ps_lead el_brb rel
## 2647 imp_rlg dut_ill dut_chl el_fair job_men ps_lead rel
## 3032 dut_ill ps_arm dut_chl el_thr trs_ntn el_brb rel
## 3041 dut_ill ps_arm dut_chl ps_lead men_lead el_brb rel
## 3013 dut_ill ps_arm dut_chl job_men el_thr ps_lead rel
## 3243 ps_arm el_fair job_men el_thr trs_ntn el_brb rel
## 3081 dut_ill ps_arm job_men el_thr trs_ntn men_lead rel
## 2668 imp_rlg dut_ill dut_chl el_fair ps_lead men_lead rel
## 2712 imp_rlg dut_ill el_fair job_men el_thr ps_lead rel
## 3088 dut_ill ps_arm job_men trs_ntn ps_lead men_lead rel
## 3229 ps_arm dut_chl job_men trs_ntn ps_lead el_brb rel
## 3085 dut_ill ps_arm job_men el_thr ps_lead el_brb rel
## 3091 dut_ill ps_arm job_men ps_lead men_lead el_brb rel
## 3034 dut_ill ps_arm dut_chl el_thr ps_lead men_lead rel
## 3246 ps_arm el_fair job_men el_thr ps_lead el_brb rel
## 3095 dut_ill ps_arm el_thr trs_ntn men_lead el_brb rel
## 2724 imp_rlg dut_ill el_fair job_men ps_lead el_brb rel
## 2663 imp_rlg dut_ill dut_chl el_fair trs_ntn ps_lead rel
## 3016 dut_ill ps_arm dut_chl job_men el_thr el_brb rel
## 3237 ps_arm dut_chl trs_ntn ps_lead men_lead el_brb rel
## 3021 dut_ill ps_arm dut_chl job_men trs_ntn men_lead rel
## 3035 dut_ill ps_arm dut_chl el_thr ps_lead el_brb rel
## 2733 imp_rlg dut_ill el_fair el_thr ps_lead men_lead rel
## 3094 dut_ill ps_arm el_thr trs_ntn ps_lead el_brb rel
## 3084 dut_ill ps_arm job_men el_thr ps_lead men_lead rel
## 3219 ps_arm dut_chl job_men el_thr trs_ntn ps_lead rel
## 3026 dut_ill ps_arm dut_chl job_men men_lead el_brb rel
## 2900 imp_rlg dut_chl el_fair job_men trs_ntn ps_lead rel
## 2919 imp_rlg dut_chl el_fair trs_ntn ps_lead men_lead rel
## 3036 dut_ill ps_arm dut_chl el_thr men_lead el_brb rel
## 3222 ps_arm dut_chl job_men el_thr trs_ntn el_brb rel
## 2740 imp_rlg dut_ill el_fair ps_lead men_lead el_brb rel
## 3230 ps_arm dut_chl job_men trs_ntn men_lead el_brb rel
## 3096 dut_ill ps_arm el_thr ps_lead men_lead el_brb rel
## 3256 ps_arm el_fair el_thr trs_ntn men_lead el_brb rel
## 3233 ps_arm dut_chl el_thr trs_ntn ps_lead men_lead rel
## 3247 ps_arm el_fair job_men el_thr men_lead el_brb rel
## 3015 dut_ill ps_arm dut_chl job_men el_thr men_lead rel
## 3086 dut_ill ps_arm job_men el_thr men_lead el_brb rel
## 3024 dut_ill ps_arm dut_chl job_men ps_lead men_lead rel
## 2955 imp_rlg el_fair job_men trs_ntn ps_lead men_lead rel
## 3235 ps_arm dut_chl el_thr trs_ntn men_lead el_brb rel
## 3257 ps_arm el_fair el_thr ps_lead men_lead el_brb rel
## 2728 imp_rlg dut_ill el_fair el_thr trs_ntn ps_lead rel
## 3234 ps_arm dut_chl el_thr trs_ntn ps_lead el_brb rel
## 3221 ps_arm dut_chl job_men el_thr trs_ntn men_lead rel
## 2657 imp_rlg dut_ill dut_chl el_fair el_thr ps_lead rel
## 2905 imp_rlg dut_chl el_fair job_men ps_lead men_lead rel
## 3228 ps_arm dut_chl job_men trs_ntn ps_lead men_lead rel
## 3225 ps_arm dut_chl job_men el_thr ps_lead el_brb rel
## 3231 ps_arm dut_chl job_men ps_lead men_lead el_brb rel
## 3264 ps_arm job_men trs_ntn ps_lead men_lead el_brb rel
## 2946 imp_rlg el_fair job_men el_thr trs_ntn ps_lead rel
## 2743 imp_rlg dut_ill job_men el_thr trs_ntn ps_lead rel
## 2894 imp_rlg dut_chl el_fair job_men el_thr ps_lead rel
## 2738 imp_rlg dut_ill el_fair trs_ntn ps_lead el_brb rel
## 2669 imp_rlg dut_ill dut_chl el_fair ps_lead el_brb rel
## 3261 ps_arm job_men el_thr trs_ntn ps_lead el_brb rel
## 2753 imp_rlg dut_ill job_men trs_ntn ps_lead el_brb rel
## 3255 ps_arm el_fair el_thr trs_ntn ps_lead el_brb rel
## 2956 imp_rlg el_fair job_men trs_ntn ps_lead el_brb rel
## 2915 imp_rlg dut_chl el_fair el_thr ps_lead men_lead rel
## 2906 imp_rlg dut_chl el_fair job_men ps_lead el_brb rel
## 3236 ps_arm dut_chl el_thr ps_lead men_lead el_brb rel
## 3260 ps_arm job_men el_thr trs_ntn ps_lead men_lead rel
## 3224 ps_arm dut_chl job_men el_thr ps_lead men_lead rel
## 2720 imp_rlg dut_ill el_fair job_men trs_ntn men_lead rel
## 2922 imp_rlg dut_chl el_fair ps_lead men_lead el_brb rel
## 2757 imp_rlg dut_ill el_thr trs_ntn ps_lead men_lead rel
## 2709 imp_rlg dut_ill el_fair job_men el_thr trs_ntn rel
## 2951 imp_rlg el_fair job_men el_thr ps_lead men_lead rel
## 3262 ps_arm job_men el_thr trs_ntn men_lead el_brb rel
## 2644 imp_rlg dut_ill dut_chl el_fair job_men trs_ntn rel
## 2910 imp_rlg dut_chl el_fair el_thr trs_ntn ps_lead rel
## 3226 ps_arm dut_chl job_men el_thr men_lead el_brb rel
## 2960 imp_rlg el_fair el_thr trs_ntn ps_lead men_lead rel
## 2761 imp_rlg dut_ill trs_ntn ps_lead men_lead el_brb rel
## 2571 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn ps_lead
## 2665 imp_rlg dut_ill dut_chl el_fair trs_ntn men_lead rel
## 2958 imp_rlg el_fair job_men ps_lead men_lead el_brb rel
## 2964 imp_rlg el_fair trs_ntn ps_lead men_lead el_brb rel
## 2752 imp_rlg dut_ill job_men trs_ntn ps_lead men_lead rel
## 2920 imp_rlg dut_chl el_fair trs_ntn ps_lead el_brb rel
## 2683 imp_rlg dut_ill dut_chl job_men trs_ntn ps_lead rel
## 2721 imp_rlg dut_ill el_fair job_men trs_ntn el_brb rel
## 3265 ps_arm el_thr trs_ntn ps_lead men_lead el_brb rel
## 2591 imp_rlg dut_ill ps_arm el_fair trs_ntn ps_lead men_lead
## 2748 imp_rlg dut_ill job_men el_thr ps_lead men_lead rel
## 2677 imp_rlg dut_ill dut_chl job_men el_thr ps_lead rel
## 2693 imp_rlg dut_ill dut_chl el_thr trs_ntn ps_lead rel
## 2749 imp_rlg dut_ill job_men el_thr ps_lead el_brb rel
## 2734 imp_rlg dut_ill el_fair el_thr ps_lead el_brb rel
## 2702 imp_rlg dut_ill dut_chl trs_ntn ps_lead men_lead rel
## 2730 imp_rlg dut_ill el_fair el_thr trs_ntn men_lead rel
## 2755 imp_rlg dut_ill job_men ps_lead men_lead el_brb rel
## 2689 imp_rlg dut_ill dut_chl job_men ps_lead el_brb rel
## 3263 ps_arm job_men el_thr ps_lead men_lead el_brb rel
## 2714 imp_rlg dut_ill el_fair job_men el_thr men_lead rel
## 3110 dut_ill dut_chl el_fair job_men trs_ntn ps_lead rel
## 2649 imp_rlg dut_ill dut_chl el_fair job_men men_lead rel
## 2703 imp_rlg dut_ill dut_chl trs_ntn ps_lead el_brb rel
## 2640 imp_rlg dut_ill dut_chl el_fair job_men el_thr rel
## 2698 imp_rlg dut_ill dut_chl el_thr ps_lead men_lead rel
## 2952 imp_rlg el_fair job_men el_thr ps_lead el_brb rel
## 2511 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn
## 2522 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn men_lead
## 2925 imp_rlg dut_chl job_men el_thr trs_ntn ps_lead rel
## 3165 dut_ill el_fair job_men trs_ntn ps_lead men_lead rel
## 2705 imp_rlg dut_ill dut_chl ps_lead men_lead el_brb rel
## 2935 imp_rlg dut_chl job_men trs_ntn ps_lead el_brb rel
## 2739 imp_rlg dut_ill el_fair trs_ntn men_lead el_brb rel
## 2572 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn men_lead
## 3129 dut_ill dut_chl el_fair trs_ntn ps_lead men_lead rel
## 2725 imp_rlg dut_ill el_fair job_men men_lead el_brb rel
## 3156 dut_ill el_fair job_men el_thr trs_ntn ps_lead rel
## 3104 dut_ill dut_chl el_fair job_men el_thr ps_lead rel
## 3115 dut_ill dut_chl el_fair job_men ps_lead men_lead rel
## 2521 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead
## 2659 imp_rlg dut_ill dut_chl el_fair el_thr men_lead rel
## 2760 imp_rlg dut_ill el_thr ps_lead men_lead el_brb rel
## 2902 imp_rlg dut_chl el_fair job_men trs_ntn men_lead rel
## 2943 imp_rlg dut_chl trs_ntn ps_lead men_lead el_brb rel
## 2939 imp_rlg dut_chl el_thr trs_ntn ps_lead men_lead rel
## 2650 imp_rlg dut_ill dut_chl el_fair job_men el_brb rel
## 3161 dut_ill el_fair job_men el_thr ps_lead men_lead rel
## 3166 dut_ill el_fair job_men trs_ntn ps_lead el_brb rel
## 2758 imp_rlg dut_ill el_thr trs_ntn ps_lead el_brb rel
## 3116 dut_ill dut_chl el_fair job_men ps_lead el_brb rel
## 2891 imp_rlg dut_chl el_fair job_men el_thr trs_ntn rel
## 2970 imp_rlg job_men trs_ntn ps_lead men_lead el_brb rel
## 2670 imp_rlg dut_ill dut_chl el_fair men_lead el_brb rel
## 2715 imp_rlg dut_ill el_fair job_men el_thr el_brb rel
## 3125 dut_ill dut_chl el_fair el_thr ps_lead men_lead rel
## 2966 imp_rlg job_men el_thr trs_ntn ps_lead men_lead rel
## 2654 imp_rlg dut_ill dut_chl el_fair el_thr trs_ntn rel
## 2688 imp_rlg dut_ill dut_chl job_men ps_lead men_lead rel
## 2566 imp_rlg dut_ill ps_arm el_fair job_men el_thr trs_ntn
## 3168 dut_ill el_fair job_men ps_lead men_lead el_brb rel
## 2916 imp_rlg dut_chl el_fair el_thr ps_lead el_brb rel
## 2963 imp_rlg el_fair el_thr ps_lead men_lead el_brb rel
## 2967 imp_rlg job_men el_thr trs_ntn ps_lead el_brb rel
## 2912 imp_rlg dut_chl el_fair el_thr trs_ntn men_lead rel
## 2903 imp_rlg dut_chl el_fair job_men trs_ntn el_brb rel
## 2934 imp_rlg dut_chl job_men trs_ntn ps_lead men_lead rel
## 2699 imp_rlg dut_ill dut_chl el_thr ps_lead el_brb rel
## 3132 dut_ill dut_chl el_fair ps_lead men_lead el_brb rel
## 3170 dut_ill el_fair el_thr trs_ntn ps_lead men_lead rel
## 2573 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn el_brb
## 2948 imp_rlg el_fair job_men el_thr trs_ntn men_lead rel
## 2921 imp_rlg dut_chl el_fair trs_ntn men_lead el_brb rel
## 2937 imp_rlg dut_chl job_men ps_lead men_lead el_brb rel
## 3162 dut_ill el_fair job_men el_thr ps_lead el_brb rel
## 2931 imp_rlg dut_chl job_men el_thr ps_lead el_brb rel
## 2666 imp_rlg dut_ill dut_chl el_fair trs_ntn el_brb rel
## 3277 dut_chl el_fair job_men trs_ntn ps_lead men_lead rel
## 2930 imp_rlg dut_chl job_men el_thr ps_lead men_lead rel
## 2745 imp_rlg dut_ill job_men el_thr trs_ntn men_lead rel
## 2582 imp_rlg dut_ill ps_arm el_fair el_thr trs_ntn men_lead
## 2767 imp_rlg ps_arm dut_chl el_fair job_men trs_ntn ps_lead
## 2735 imp_rlg dut_ill el_fair el_thr men_lead el_brb rel
## 2512 imp_rlg dut_ill ps_arm dut_chl el_fair job_men ps_lead
## 2957 imp_rlg el_fair job_men trs_ntn men_lead el_brb rel
## 3268 dut_chl el_fair job_men el_thr trs_ntn ps_lead rel
## 3174 dut_ill el_fair trs_ntn ps_lead men_lead el_brb rel
## 2787 imp_rlg ps_arm dut_chl el_fair trs_ntn ps_lead men_lead
## 2896 imp_rlg dut_chl el_fair job_men el_thr men_lead rel
## 2674 imp_rlg dut_ill dut_chl job_men el_thr trs_ntn rel
## 3120 dut_ill dut_chl el_fair el_thr trs_ntn ps_lead rel
## 2746 imp_rlg dut_ill job_men el_thr trs_ntn el_brb rel
## 2575 imp_rlg dut_ill ps_arm el_fair job_men ps_lead men_lead
## 2525 imp_rlg dut_ill ps_arm dut_chl el_fair ps_lead men_lead
## 2754 imp_rlg dut_ill job_men trs_ntn men_lead el_brb rel
## 2940 imp_rlg dut_chl el_thr trs_ntn ps_lead el_brb rel
## 2594 imp_rlg dut_ill ps_arm el_fair trs_ntn men_lead el_brb
## 3278 dut_chl el_fair job_men trs_ntn ps_lead el_brb rel
## 2907 imp_rlg dut_chl el_fair job_men men_lead el_brb rel
## 2942 imp_rlg dut_chl el_thr ps_lead men_lead el_brb rel
## 2686 imp_rlg dut_ill dut_chl job_men trs_ntn el_brb rel
## 2971 imp_rlg el_thr trs_ntn ps_lead men_lead el_brb rel
## 2695 imp_rlg dut_ill dut_chl el_thr trs_ntn men_lead rel
## 3130 dut_ill dut_chl el_fair trs_ntn ps_lead el_brb rel
## 3273 dut_chl el_fair job_men el_thr ps_lead men_lead rel
## 2969 imp_rlg job_men el_thr ps_lead men_lead el_brb rel
## 3282 dut_chl el_fair el_thr trs_ntn ps_lead men_lead rel
## 2516 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn
## 3135 dut_ill dut_chl job_men el_thr trs_ntn ps_lead rel
## 2704 imp_rlg dut_ill dut_chl trs_ntn men_lead el_brb rel
## 3280 dut_chl el_fair job_men ps_lead men_lead el_brb rel
## 2961 imp_rlg el_fair el_thr trs_ntn ps_lead el_brb rel
## 2581 imp_rlg dut_ill ps_arm el_fair el_thr trs_ntn ps_lead
## 3286 dut_chl el_fair trs_ntn ps_lead men_lead el_brb rel
## 2949 imp_rlg el_fair job_men el_thr trs_ntn el_brb rel
## 3145 dut_ill dut_chl job_men trs_ntn ps_lead el_brb rel
## 2567 imp_rlg dut_ill ps_arm el_fair job_men el_thr ps_lead
## 3101 dut_ill dut_chl el_fair job_men el_thr trs_ntn rel
## 2768 imp_rlg ps_arm dut_chl el_fair job_men trs_ntn men_lead
## 3173 dut_ill el_fair el_thr ps_lead men_lead el_brb rel
## 2897 imp_rlg dut_chl el_fair job_men el_thr el_brb rel
## 2759 imp_rlg dut_ill el_thr trs_ntn men_lead el_brb rel
## 3112 dut_ill dut_chl el_fair job_men trs_ntn men_lead rel
## 2523 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn el_brb
## 3177 dut_ill job_men el_thr trs_ntn ps_lead el_brb rel
## 2731 imp_rlg dut_ill el_fair el_thr trs_ntn el_brb rel
## 3176 dut_ill job_men el_thr trs_ntn ps_lead men_lead rel
## 2592 imp_rlg dut_ill ps_arm el_fair trs_ntn ps_lead el_brb
## 2660 imp_rlg dut_ill dut_chl el_fair el_thr el_brb rel
## 3158 dut_ill el_fair job_men el_thr trs_ntn men_lead rel
## 2576 imp_rlg dut_ill ps_arm el_fair job_men ps_lead el_brb
## 3180 dut_ill job_men trs_ntn ps_lead men_lead el_brb rel
## 2842 imp_rlg ps_arm el_fair job_men trs_ntn ps_lead men_lead
## 3274 dut_chl el_fair job_men el_thr ps_lead el_brb rel
## 3149 dut_ill dut_chl el_thr trs_ntn ps_lead men_lead rel
## 2513 imp_rlg dut_ill ps_arm dut_chl el_fair job_men men_lead
## 3126 dut_ill dut_chl el_fair el_thr ps_lead el_brb rel
## 2750 imp_rlg dut_ill job_men el_thr men_lead el_brb rel
## 3295 el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 3113 dut_ill dut_chl el_fair job_men trs_ntn el_brb rel
## 2680 imp_rlg dut_ill dut_chl job_men el_thr el_brb rel
## 2917 imp_rlg dut_chl el_fair el_thr men_lead el_brb rel
## 3153 dut_ill dut_chl trs_ntn ps_lead men_lead el_brb rel
## 3122 dut_ill dut_chl el_fair el_thr trs_ntn men_lead rel
## 2685 imp_rlg dut_ill dut_chl job_men trs_ntn men_lead rel
## 3106 dut_ill dut_chl el_fair job_men el_thr men_lead rel
## 3141 dut_ill dut_chl job_men el_thr ps_lead el_brb rel
## 2679 imp_rlg dut_ill dut_chl job_men el_thr men_lead rel
## 3299 el_fair job_men trs_ntn ps_lead men_lead el_brb rel
## 3167 dut_ill el_fair job_men trs_ntn men_lead el_brb rel
## 2953 imp_rlg el_fair job_men el_thr men_lead el_brb rel
## 2585 imp_rlg dut_ill ps_arm el_fair el_thr ps_lead men_lead
## 2690 imp_rlg dut_ill dut_chl job_men men_lead el_brb rel
## 2936 imp_rlg dut_chl job_men trs_ntn men_lead el_brb rel
## 2927 imp_rlg dut_chl job_men el_thr trs_ntn men_lead rel
## 2928 imp_rlg dut_chl job_men el_thr trs_ntn el_brb rel
## 3147 dut_ill dut_chl job_men ps_lead men_lead el_brb rel
## 3140 dut_ill dut_chl job_men el_thr ps_lead men_lead rel
## 2762 imp_rlg ps_arm dut_chl el_fair job_men el_thr trs_ntn
## 2597 imp_rlg dut_ill ps_arm el_fair ps_lead men_lead el_brb
## 3117 dut_ill dut_chl el_fair job_men men_lead el_brb rel
## 3179 dut_ill job_men el_thr ps_lead men_lead el_brb rel
## 2696 imp_rlg dut_ill dut_chl el_thr trs_ntn el_brb rel
## 2510 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr
## 3131 dut_ill dut_chl el_fair trs_ntn men_lead el_brb rel
## 3285 dut_chl el_fair el_thr ps_lead men_lead el_brb rel
## 2962 imp_rlg el_fair el_thr trs_ntn men_lead el_brb rel
## 2778 imp_rlg ps_arm dut_chl el_fair el_thr trs_ntn men_lead
## 2700 imp_rlg dut_ill dut_chl el_thr men_lead el_brb rel
## 2769 imp_rlg ps_arm dut_chl el_fair job_men trs_ntn el_brb
## 3159 dut_ill el_fair job_men el_thr trs_ntn el_brb rel
## 2568 imp_rlg dut_ill ps_arm el_fair job_men el_thr men_lead
## 3144 dut_ill dut_chl job_men trs_ntn ps_lead men_lead rel
## 2913 imp_rlg dut_chl el_fair el_thr trs_ntn el_brb rel
## 2790 imp_rlg ps_arm dut_chl el_fair trs_ntn men_lead el_brb
## 3107 dut_ill dut_chl el_fair job_men el_thr el_brb rel
## 3152 dut_ill dut_chl el_thr ps_lead men_lead el_brb rel
## 2518 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr men_lead
## 2517 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr ps_lead
## 3181 dut_ill el_thr trs_ntn ps_lead men_lead el_brb rel
## 3296 el_fair job_men el_thr trs_ntn ps_lead el_brb rel
## 2514 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_brb
## 2941 imp_rlg dut_chl el_thr trs_ntn men_lead el_brb rel
## 2832 imp_rlg ps_arm el_fair job_men el_thr trs_ntn ps_lead
## 2601 imp_rlg dut_ill ps_arm job_men el_thr trs_ntn ps_lead
## 2968 imp_rlg job_men el_thr trs_ntn men_lead el_brb rel
## 2578 imp_rlg dut_ill ps_arm el_fair job_men men_lead el_brb
## 3289 dut_chl job_men el_thr trs_ntn ps_lead el_brb rel
## 3171 dut_ill el_fair el_thr trs_ntn ps_lead el_brb rel
## 3292 dut_chl job_men trs_ntn ps_lead men_lead el_brb rel
## 3163 dut_ill el_fair job_men el_thr men_lead el_brb rel
## 3270 dut_chl el_fair job_men el_thr trs_ntn men_lead rel
## 3150 dut_ill dut_chl el_thr trs_ntn ps_lead el_brb rel
## 2528 imp_rlg dut_ill ps_arm dut_chl el_fair men_lead el_brb
## 2612 imp_rlg dut_ill ps_arm job_men trs_ntn ps_lead el_brb
## 2843 imp_rlg ps_arm el_fair job_men trs_ntn ps_lead el_brb
## 3298 el_fair job_men el_thr ps_lead men_lead el_brb rel
## 3288 dut_chl job_men el_thr trs_ntn ps_lead men_lead rel
## 2526 imp_rlg dut_ill ps_arm dut_chl el_fair ps_lead el_brb
## 2777 imp_rlg ps_arm dut_chl el_fair el_thr trs_ntn ps_lead
## 2771 imp_rlg ps_arm dut_chl el_fair job_men ps_lead men_lead
## 3279 dut_chl el_fair job_men trs_ntn men_lead el_brb rel
## 2788 imp_rlg ps_arm dut_chl el_fair trs_ntn ps_lead el_brb
## 3127 dut_ill dut_chl el_fair el_thr men_lead el_brb rel
## 2536 imp_rlg dut_ill ps_arm dut_chl job_men trs_ntn ps_lead
## 3283 dut_chl el_fair el_thr trs_ntn ps_lead el_brb rel
## 2611 imp_rlg dut_ill ps_arm job_men trs_ntn ps_lead men_lead
## 2932 imp_rlg dut_chl job_men el_thr men_lead el_brb rel
## 2556 imp_rlg dut_ill ps_arm dut_chl trs_ntn ps_lead men_lead
## 2833 imp_rlg ps_arm el_fair job_men el_thr trs_ntn men_lead
## 2621 imp_rlg dut_ill ps_arm el_thr trs_ntn ps_lead men_lead
## 3293 dut_chl el_thr trs_ntn ps_lead men_lead el_brb rel
## 3172 dut_ill el_fair el_thr trs_ntn men_lead el_brb rel
## 2569 imp_rlg dut_ill ps_arm el_fair job_men el_thr el_brb
## 3138 dut_ill dut_chl job_men el_thr trs_ntn el_brb rel
## 2631 imp_rlg dut_ill ps_arm trs_ntn ps_lead men_lead el_brb
## 2583 imp_rlg dut_ill ps_arm el_fair el_thr trs_ntn el_brb
## 2845 imp_rlg ps_arm el_fair job_men trs_ntn men_lead el_brb
## 3271 dut_chl el_fair job_men el_thr trs_ntn el_brb rel
## 3291 dut_chl job_men el_thr ps_lead men_lead el_brb rel
## 2852 imp_rlg ps_arm el_fair el_thr trs_ntn ps_lead men_lead
## 2531 imp_rlg dut_ill ps_arm dut_chl job_men el_thr trs_ntn
## 3137 dut_ill dut_chl job_men el_thr trs_ntn men_lead rel
## 2862 imp_rlg ps_arm el_fair trs_ntn ps_lead men_lead el_brb
## 3146 dut_ill dut_chl job_men trs_ntn men_lead el_brb rel
## 2538 imp_rlg dut_ill ps_arm dut_chl job_men trs_ntn el_brb
## 2546 imp_rlg dut_ill ps_arm dut_chl el_thr trs_ntn ps_lead
## 2763 imp_rlg ps_arm dut_chl el_fair job_men el_thr ps_lead
## 3178 dut_ill job_men el_thr trs_ntn men_lead el_brb rel
## 2602 imp_rlg dut_ill ps_arm job_men el_thr trs_ntn men_lead
## 3301 job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 2614 imp_rlg dut_ill ps_arm job_men trs_ntn men_lead el_brb
## 3300 el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
## 2547 imp_rlg dut_ill ps_arm dut_chl el_thr trs_ntn men_lead
## 2772 imp_rlg ps_arm dut_chl el_fair job_men ps_lead el_brb
## 2557 imp_rlg dut_ill ps_arm dut_chl trs_ntn ps_lead el_brb
## 3275 dut_chl el_fair job_men el_thr men_lead el_brb rel
## 2559 imp_rlg dut_ill ps_arm dut_chl trs_ntn men_lead el_brb
## 3123 dut_ill dut_chl el_fair el_thr trs_ntn el_brb rel
## 2781 imp_rlg ps_arm dut_chl el_fair el_thr ps_lead men_lead
## 2603 imp_rlg dut_ill ps_arm job_men el_thr trs_ntn el_brb
## 2716 imp_rlg dut_ill el_fair job_men trs_ntn ps_lead men_lead
## 3151 dut_ill dut_chl el_thr trs_ntn men_lead el_brb rel
## 3284 dut_chl el_fair el_thr trs_ntn men_lead el_brb rel
## 2793 imp_rlg ps_arm dut_chl el_fair ps_lead men_lead el_brb
## 2588 imp_rlg dut_ill ps_arm el_fair el_thr men_lead el_brb
## 3142 dut_ill dut_chl job_men el_thr men_lead el_brb rel
## 2641 imp_rlg dut_ill dut_chl el_fair job_men trs_ntn ps_lead
## 2537 imp_rlg dut_ill ps_arm dut_chl job_men trs_ntn men_lead
## 2834 imp_rlg ps_arm el_fair job_men el_thr trs_ntn el_brb
## 3297 el_fair job_men el_thr trs_ntn men_lead el_brb rel
## 2661 imp_rlg dut_ill dut_chl el_fair trs_ntn ps_lead men_lead
## 2706 imp_rlg dut_ill el_fair job_men el_thr trs_ntn ps_lead
## 2586 imp_rlg dut_ill ps_arm el_fair el_thr ps_lead el_brb
## 2764 imp_rlg ps_arm dut_chl el_fair job_men el_thr men_lead
## 2808 imp_rlg ps_arm dut_chl job_men trs_ntn ps_lead el_brb
## 2624 imp_rlg dut_ill ps_arm el_thr trs_ntn men_lead el_brb
## 2797 imp_rlg ps_arm dut_chl job_men el_thr trs_ntn ps_lead
## 3290 dut_chl job_men el_thr trs_ntn men_lead el_brb rel
## 2519 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr el_brb
## 2836 imp_rlg ps_arm el_fair job_men el_thr ps_lead men_lead
## 2774 imp_rlg ps_arm dut_chl el_fair job_men men_lead el_brb
## 2848 imp_rlg ps_arm el_fair job_men ps_lead men_lead el_brb
## 2779 imp_rlg ps_arm dut_chl el_fair el_thr trs_ntn el_brb
## 2827 imp_rlg ps_arm dut_chl trs_ntn ps_lead men_lead el_brb
## 2622 imp_rlg dut_ill ps_arm el_thr trs_ntn ps_lead el_brb
## 2717 imp_rlg dut_ill el_fair job_men trs_ntn ps_lead el_brb
## 2977 dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead
## 2817 imp_rlg ps_arm dut_chl el_thr trs_ntn ps_lead men_lead
## 2548 imp_rlg dut_ill ps_arm dut_chl el_thr trs_ntn el_brb
## 2532 imp_rlg dut_ill ps_arm dut_chl job_men el_thr ps_lead
## 2807 imp_rlg ps_arm dut_chl job_men trs_ntn ps_lead men_lead
## 2541 imp_rlg dut_ill ps_arm dut_chl job_men ps_lead el_brb
## 2605 imp_rlg dut_ill ps_arm job_men el_thr ps_lead men_lead
## 2617 imp_rlg dut_ill ps_arm job_men ps_lead men_lead el_brb
## 2726 imp_rlg dut_ill el_fair el_thr trs_ntn ps_lead men_lead
## 2855 imp_rlg ps_arm el_fair el_thr trs_ntn men_lead el_brb
## 2997 dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead men_lead
## 2606 imp_rlg dut_ill ps_arm job_men el_thr ps_lead el_brb
## 2550 imp_rlg dut_ill ps_arm dut_chl el_thr ps_lead men_lead
## 2978 dut_ill ps_arm dut_chl el_fair job_men trs_ntn men_lead
## 2765 imp_rlg ps_arm dut_chl el_fair job_men el_thr el_brb
## 2645 imp_rlg dut_ill dut_chl el_fair job_men ps_lead men_lead
## 2562 imp_rlg dut_ill ps_arm dut_chl ps_lead men_lead el_brb
## 2810 imp_rlg ps_arm dut_chl job_men trs_ntn men_lead el_brb
## 2877 imp_rlg ps_arm job_men trs_ntn ps_lead men_lead el_brb
## 2798 imp_rlg ps_arm dut_chl job_men el_thr trs_ntn men_lead
## 3052 dut_ill ps_arm el_fair job_men trs_ntn ps_lead men_lead
## 2867 imp_rlg ps_arm job_men el_thr trs_ntn ps_lead men_lead
## 2898 imp_rlg dut_chl el_fair job_men trs_ntn ps_lead men_lead
## 2736 imp_rlg dut_ill el_fair trs_ntn ps_lead men_lead el_brb
## 2837 imp_rlg ps_arm el_fair job_men el_thr ps_lead el_brb
## 2799 imp_rlg ps_arm dut_chl job_men el_thr trs_ntn el_brb
## 2972 dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn
## 2540 imp_rlg dut_ill ps_arm dut_chl job_men ps_lead men_lead
## 2710 imp_rlg dut_ill el_fair job_men el_thr ps_lead men_lead
## 2784 imp_rlg ps_arm dut_chl el_fair el_thr men_lead el_brb
## 2637 imp_rlg dut_ill dut_chl el_fair job_men el_thr ps_lead
## 2868 imp_rlg ps_arm job_men el_thr trs_ntn ps_lead el_brb
## 3042 dut_ill ps_arm el_fair job_men el_thr trs_ntn ps_lead
## 2979 dut_ill ps_arm dut_chl el_fair job_men trs_ntn el_brb
## 2722 imp_rlg dut_ill el_fair job_men ps_lead men_lead el_brb
## 2820 imp_rlg ps_arm dut_chl el_thr trs_ntn men_lead el_brb
## 2627 imp_rlg dut_ill ps_arm el_thr ps_lead men_lead el_brb
## 2782 imp_rlg ps_arm dut_chl el_fair el_thr ps_lead el_brb
## 2888 imp_rlg dut_chl el_fair job_men el_thr trs_ntn ps_lead
## 2988 dut_ill ps_arm dut_chl el_fair el_thr trs_ntn men_lead
## 2533 imp_rlg dut_ill ps_arm dut_chl job_men el_thr men_lead
## 2655 imp_rlg dut_ill dut_chl el_fair el_thr ps_lead men_lead
## 2543 imp_rlg dut_ill ps_arm dut_chl job_men men_lead el_brb
## 2646 imp_rlg dut_ill dut_chl el_fair job_men ps_lead el_brb
## 3053 dut_ill ps_arm el_fair job_men trs_ntn ps_lead el_brb
## 2534 imp_rlg dut_ill ps_arm dut_chl job_men el_thr el_brb
## 2651 imp_rlg dut_ill dut_chl el_fair el_thr trs_ntn ps_lead
## 2818 imp_rlg ps_arm dut_chl el_thr trs_ntn ps_lead el_brb
## 3043 dut_ill ps_arm el_fair job_men el_thr trs_ntn men_lead
## 2981 dut_ill ps_arm dut_chl el_fair job_men ps_lead men_lead
## 2839 imp_rlg ps_arm el_fair job_men el_thr men_lead el_brb
## 2608 imp_rlg dut_ill ps_arm job_men el_thr men_lead el_brb
## 2551 imp_rlg dut_ill ps_arm dut_chl el_thr ps_lead el_brb
## 3000 dut_ill ps_arm dut_chl el_fair trs_ntn men_lead el_brb
## 2853 imp_rlg ps_arm el_fair el_thr trs_ntn ps_lead el_brb
## 2642 imp_rlg dut_ill dut_chl el_fair job_men trs_ntn men_lead
## 2899 imp_rlg dut_chl el_fair job_men trs_ntn ps_lead el_brb
## 2908 imp_rlg dut_chl el_fair el_thr trs_ntn ps_lead men_lead
## 2858 imp_rlg ps_arm el_fair el_thr ps_lead men_lead el_brb
## 3055 dut_ill ps_arm el_fair job_men trs_ntn men_lead el_brb
## 2741 imp_rlg dut_ill job_men el_thr trs_ntn ps_lead men_lead
## 2667 imp_rlg dut_ill dut_chl el_fair ps_lead men_lead el_brb
## 2671 imp_rlg dut_ill dut_chl job_men el_thr trs_ntn ps_lead
## 2870 imp_rlg ps_arm job_men el_thr trs_ntn men_lead el_brb
## 2707 imp_rlg dut_ill el_fair job_men el_thr trs_ntn men_lead
## 2711 imp_rlg dut_ill el_fair job_men el_thr ps_lead el_brb
## 2973 dut_ill ps_arm dut_chl el_fair job_men el_thr ps_lead
## 2553 imp_rlg dut_ill ps_arm dut_chl el_thr men_lead el_brb
## 2662 imp_rlg dut_ill dut_chl el_fair trs_ntn ps_lead el_brb
## 2944 imp_rlg el_fair job_men el_thr trs_ntn ps_lead men_lead
## 2636 imp_rlg dut_ill dut_chl el_fair job_men el_thr trs_ntn
## 2918 imp_rlg dut_chl el_fair trs_ntn ps_lead men_lead el_brb
## 2882 imp_rlg ps_arm el_thr trs_ntn ps_lead men_lead el_brb
## 2751 imp_rlg dut_ill job_men trs_ntn ps_lead men_lead el_brb
## 3192 ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead
## 2987 dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead
## 2982 dut_ill ps_arm dut_chl el_fair job_men ps_lead el_brb
## 2682 imp_rlg dut_ill dut_chl job_men trs_ntn ps_lead el_brb
## 2742 imp_rlg dut_ill job_men el_thr trs_ntn ps_lead el_brb
## 3062 dut_ill ps_arm el_fair el_thr trs_ntn ps_lead men_lead
## 2813 imp_rlg ps_arm dut_chl job_men ps_lead men_lead el_brb
## 2691 imp_rlg dut_ill dut_chl el_thr trs_ntn ps_lead men_lead
## 2954 imp_rlg el_fair job_men trs_ntn ps_lead men_lead el_brb
## 2719 imp_rlg dut_ill el_fair job_men trs_ntn men_lead el_brb
## 3044 dut_ill ps_arm el_fair job_men el_thr trs_ntn el_brb
## 2801 imp_rlg ps_arm dut_chl job_men el_thr ps_lead men_lead
## 3072 dut_ill ps_arm el_fair trs_ntn ps_lead men_lead el_brb
## 2652 imp_rlg dut_ill dut_chl el_fair el_thr trs_ntn men_lead
## 2998 dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead el_brb
## 2991 dut_ill ps_arm dut_chl el_fair el_thr ps_lead men_lead
## 2802 imp_rlg ps_arm dut_chl job_men el_thr ps_lead el_brb
## 3046 dut_ill ps_arm el_fair job_men el_thr ps_lead men_lead
## 2974 dut_ill ps_arm dut_chl el_fair job_men el_thr men_lead
## 2681 imp_rlg dut_ill dut_chl job_men trs_ntn ps_lead men_lead
## 2643 imp_rlg dut_ill dut_chl el_fair job_men trs_ntn el_brb
## 3182 ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead
## 2701 imp_rlg dut_ill dut_chl trs_ntn ps_lead men_lead el_brb
## 3003 dut_ill ps_arm dut_chl el_fair ps_lead men_lead el_brb
## 2892 imp_rlg dut_chl el_fair job_men el_thr ps_lead men_lead
## 3058 dut_ill ps_arm el_fair job_men ps_lead men_lead el_brb
## 2984 dut_ill ps_arm dut_chl el_fair job_men men_lead el_brb
## 2732 imp_rlg dut_ill el_fair el_thr ps_lead men_lead el_brb
## 3193 ps_arm dut_chl el_fair job_men trs_ntn ps_lead el_brb
## 3183 ps_arm dut_chl el_fair job_men el_thr trs_ntn men_lead
## 2664 imp_rlg dut_ill dut_chl el_fair trs_ntn men_lead el_brb
## 2708 imp_rlg dut_ill el_fair job_men el_thr trs_ntn el_brb
## 2904 imp_rlg dut_chl el_fair job_men ps_lead men_lead el_brb
## 2823 imp_rlg ps_arm dut_chl el_thr ps_lead men_lead el_brb
## 3195 ps_arm dut_chl el_fair job_men trs_ntn men_lead el_brb
## 2756 imp_rlg dut_ill el_thr trs_ntn ps_lead men_lead el_brb
## 3007 dut_ill ps_arm dut_chl job_men el_thr trs_ntn ps_lead
## 3202 ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead
## 2945 imp_rlg el_fair job_men el_thr trs_ntn ps_lead el_brb
## 2975 dut_ill ps_arm dut_chl el_fair job_men el_thr el_brb
## 3018 dut_ill ps_arm dut_chl job_men trs_ntn ps_lead el_brb
## 3047 dut_ill ps_arm el_fair job_men el_thr ps_lead el_brb
## 3212 ps_arm dut_chl el_fair trs_ntn ps_lead men_lead el_brb
## 2727 imp_rlg dut_ill el_fair el_thr trs_ntn ps_lead el_brb
## 2638 imp_rlg dut_ill dut_chl el_fair job_men el_thr men_lead
## 2873 imp_rlg ps_arm job_men el_thr ps_lead men_lead el_brb
## 2889 imp_rlg dut_chl el_fair job_men el_thr trs_ntn men_lead
## 2923 imp_rlg dut_chl job_men el_thr trs_ntn ps_lead men_lead
## 2989 dut_ill ps_arm dut_chl el_fair el_thr trs_ntn el_brb
## 3065 dut_ill ps_arm el_fair el_thr trs_ntn men_lead el_brb
## 2804 imp_rlg ps_arm dut_chl job_men el_thr men_lead el_brb
## 2933 imp_rlg dut_chl job_men trs_ntn ps_lead men_lead el_brb
## 2675 imp_rlg dut_ill dut_chl job_men el_thr ps_lead men_lead
## 2893 imp_rlg dut_chl el_fair job_men el_thr ps_lead el_brb
## 3184 ps_arm dut_chl el_fair job_men el_thr trs_ntn el_brb
## 3077 dut_ill ps_arm job_men el_thr trs_ntn ps_lead men_lead
## 3027 dut_ill ps_arm dut_chl el_thr trs_ntn ps_lead men_lead
## 2901 imp_rlg dut_chl el_fair job_men trs_ntn men_lead el_brb
## 3049 dut_ill ps_arm el_fair job_men el_thr men_lead el_brb
## 2648 imp_rlg dut_ill dut_chl el_fair job_men men_lead el_brb
## 2656 imp_rlg dut_ill dut_chl el_fair el_thr ps_lead el_brb
## 3008 dut_ill ps_arm dut_chl job_men el_thr trs_ntn men_lead
## 2924 imp_rlg dut_chl job_men el_thr trs_ntn ps_lead el_brb
## 3087 dut_ill ps_arm job_men trs_ntn ps_lead men_lead el_brb
## 3009 dut_ill ps_arm dut_chl job_men el_thr trs_ntn el_brb
## 2747 imp_rlg dut_ill job_men el_thr ps_lead men_lead el_brb
## 2687 imp_rlg dut_ill dut_chl job_men ps_lead men_lead el_brb
## 3020 dut_ill ps_arm dut_chl job_men trs_ntn men_lead el_brb
## 2729 imp_rlg dut_ill el_fair el_thr trs_ntn men_lead el_brb
## 2994 dut_ill ps_arm dut_chl el_fair el_thr men_lead el_brb
## 2676 imp_rlg dut_ill dut_chl job_men el_thr ps_lead el_brb
## 3037 dut_ill ps_arm dut_chl trs_ntn ps_lead men_lead el_brb
## 3078 dut_ill ps_arm job_men el_thr trs_ntn ps_lead el_brb
## 2692 imp_rlg dut_ill dut_chl el_thr trs_ntn ps_lead el_brb
## 3017 dut_ill ps_arm dut_chl job_men trs_ntn ps_lead men_lead
## 3108 dut_ill dut_chl el_fair job_men trs_ntn ps_lead men_lead
## 2672 imp_rlg dut_ill dut_chl job_men el_thr trs_ntn men_lead
## 3186 ps_arm dut_chl el_fair job_men el_thr ps_lead men_lead
## 2713 imp_rlg dut_ill el_fair job_men el_thr men_lead el_brb
## 3098 dut_ill dut_chl el_fair job_men el_thr trs_ntn ps_lead
## 3198 ps_arm dut_chl el_fair job_men ps_lead men_lead el_brb
## 2914 imp_rlg dut_chl el_fair el_thr ps_lead men_lead el_brb
## 3238 ps_arm el_fair job_men el_thr trs_ntn ps_lead men_lead
## 2959 imp_rlg el_fair el_thr trs_ntn ps_lead men_lead el_brb
## 2744 imp_rlg dut_ill job_men el_thr trs_ntn men_lead el_brb
## 2639 imp_rlg dut_ill dut_chl el_fair job_men el_thr el_brb
## 2950 imp_rlg el_fair job_men el_thr ps_lead men_lead el_brb
## 3205 ps_arm dut_chl el_fair el_thr trs_ntn men_lead el_brb
## 3248 ps_arm el_fair job_men trs_ntn ps_lead men_lead el_brb
## 2673 imp_rlg dut_ill dut_chl job_men el_thr trs_ntn el_brb
## 2938 imp_rlg dut_chl el_thr trs_ntn ps_lead men_lead el_brb
## 2684 imp_rlg dut_ill dut_chl job_men trs_ntn men_lead el_brb
## 3080 dut_ill ps_arm job_men el_thr trs_ntn men_lead el_brb
## 3068 dut_ill ps_arm el_fair el_thr ps_lead men_lead el_brb
## 2992 dut_ill ps_arm dut_chl el_fair el_thr ps_lead el_brb
## 2909 imp_rlg dut_chl el_fair el_thr trs_ntn ps_lead el_brb
## 2697 imp_rlg dut_ill dut_chl el_thr ps_lead men_lead el_brb
## 2965 imp_rlg job_men el_thr trs_ntn ps_lead men_lead el_brb
## 2890 imp_rlg dut_chl el_fair job_men el_thr trs_ntn el_brb
## 3030 dut_ill ps_arm dut_chl el_thr trs_ntn men_lead el_brb
## 3154 dut_ill el_fair job_men el_thr trs_ntn ps_lead men_lead
## 3109 dut_ill dut_chl el_fair job_men trs_ntn ps_lead el_brb
## 3063 dut_ill ps_arm el_fair el_thr trs_ntn ps_lead el_brb
## 3187 ps_arm dut_chl el_fair job_men el_thr ps_lead el_brb
## 2658 imp_rlg dut_ill dut_chl el_fair el_thr men_lead el_brb
## 3118 dut_ill dut_chl el_fair el_thr trs_ntn ps_lead men_lead
## 3164 dut_ill el_fair job_men trs_ntn ps_lead men_lead el_brb
## 3028 dut_ill ps_arm dut_chl el_thr trs_ntn ps_lead el_brb
## 2694 imp_rlg dut_ill dut_chl el_thr trs_ntn men_lead el_brb
## 3012 dut_ill ps_arm dut_chl job_men el_thr ps_lead el_brb
## 2911 imp_rlg dut_chl el_fair el_thr trs_ntn men_lead el_brb
## 3023 dut_ill ps_arm dut_chl job_men ps_lead men_lead el_brb
## 2947 imp_rlg el_fair job_men el_thr trs_ntn men_lead el_brb
## 3011 dut_ill ps_arm dut_chl job_men el_thr ps_lead men_lead
## 2653 imp_rlg dut_ill dut_chl el_fair el_thr trs_ntn el_brb
## 3102 dut_ill dut_chl el_fair job_men el_thr ps_lead men_lead
## 3092 dut_ill ps_arm el_thr trs_ntn ps_lead men_lead el_brb
## 3227 ps_arm dut_chl job_men trs_ntn ps_lead men_lead el_brb
## 3239 ps_arm el_fair job_men el_thr trs_ntn ps_lead el_brb
## 3217 ps_arm dut_chl job_men el_thr trs_ntn ps_lead men_lead
## 3128 dut_ill dut_chl el_fair trs_ntn ps_lead men_lead el_brb
## 3218 ps_arm dut_chl job_men el_thr trs_ntn ps_lead el_brb
## 3189 ps_arm dut_chl el_fair job_men el_thr men_lead el_brb
## 3241 ps_arm el_fair job_men el_thr trs_ntn men_lead el_brb
## 3203 ps_arm dut_chl el_fair el_thr trs_ntn ps_lead el_brb
## 3114 dut_ill dut_chl el_fair job_men ps_lead men_lead el_brb
## 3155 dut_ill el_fair job_men el_thr trs_ntn ps_lead el_brb
## 2929 imp_rlg dut_chl job_men el_thr ps_lead men_lead el_brb
## 3208 ps_arm dut_chl el_fair el_thr ps_lead men_lead el_brb
## 3083 dut_ill ps_arm job_men el_thr ps_lead men_lead el_brb
## 3099 dut_ill dut_chl el_fair job_men el_thr trs_ntn men_lead
## 3220 ps_arm dut_chl job_men el_thr trs_ntn men_lead el_brb
## 3014 dut_ill ps_arm dut_chl job_men el_thr men_lead el_brb
## 3033 dut_ill ps_arm dut_chl el_thr ps_lead men_lead el_brb
## 3266 dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead
## 2926 imp_rlg dut_chl job_men el_thr trs_ntn men_lead el_brb
## 2895 imp_rlg dut_chl el_fair job_men el_thr men_lead el_brb
## 3103 dut_ill dut_chl el_fair job_men el_thr ps_lead el_brb
## 3232 ps_arm dut_chl el_thr trs_ntn ps_lead men_lead el_brb
## 3276 dut_chl el_fair job_men trs_ntn ps_lead men_lead el_brb
## 3133 dut_ill dut_chl job_men el_thr trs_ntn ps_lead men_lead
## 2678 imp_rlg dut_ill dut_chl job_men el_thr men_lead el_brb
## 3111 dut_ill dut_chl el_fair job_men trs_ntn men_lead el_brb
## 3160 dut_ill el_fair job_men el_thr ps_lead men_lead el_brb
## 3134 dut_ill dut_chl job_men el_thr trs_ntn ps_lead el_brb
## 3143 dut_ill dut_chl job_men trs_ntn ps_lead men_lead el_brb
## 3244 ps_arm el_fair job_men el_thr ps_lead men_lead el_brb
## 3100 dut_ill dut_chl el_fair job_men el_thr trs_ntn el_brb
## 3175 dut_ill job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3124 dut_ill dut_chl el_fair el_thr ps_lead men_lead el_brb
## 3267 dut_chl el_fair job_men el_thr trs_ntn ps_lead el_brb
## 3253 ps_arm el_fair el_thr trs_ntn ps_lead men_lead el_brb
## 3169 dut_ill el_fair el_thr trs_ntn ps_lead men_lead el_brb
## 3259 ps_arm job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3157 dut_ill el_fair job_men el_thr trs_ntn men_lead el_brb
## 3223 ps_arm dut_chl job_men el_thr ps_lead men_lead el_brb
## 3148 dut_ill dut_chl el_thr trs_ntn ps_lead men_lead el_brb
## 3119 dut_ill dut_chl el_fair el_thr trs_ntn ps_lead el_brb
## 3121 dut_ill dut_chl el_fair el_thr trs_ntn men_lead el_brb
## 3105 dut_ill dut_chl el_fair job_men el_thr men_lead el_brb
## 3281 dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb
## 3139 dut_ill dut_chl job_men el_thr ps_lead men_lead el_brb
## 3272 dut_chl el_fair job_men el_thr ps_lead men_lead el_brb
## 3136 dut_ill dut_chl job_men el_thr trs_ntn men_lead el_brb
## 3287 dut_chl job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3294 el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3269 dut_chl el_fair job_men el_thr trs_ntn men_lead el_brb
## 3384 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn ps_lead rel
## 3403 imp_rlg dut_ill ps_arm el_fair trs_ntn ps_lead men_lead rel
## 3329 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead rel
## 3331 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn men_lead rel
## 3310 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn rel
## 3386 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn men_lead rel
## 3334 imp_rlg dut_ill ps_arm dut_chl el_fair ps_lead men_lead rel
## 3313 imp_rlg dut_ill ps_arm dut_chl el_fair job_men ps_lead rel
## 3375 imp_rlg dut_ill ps_arm el_fair job_men el_thr trs_ntn rel
## 3394 imp_rlg dut_ill ps_arm el_fair el_thr trs_ntn ps_lead rel
## 3396 imp_rlg dut_ill ps_arm el_fair el_thr trs_ntn men_lead rel
## 3543 imp_rlg ps_arm dut_chl el_fair trs_ntn ps_lead men_lead rel
## 3389 imp_rlg dut_ill ps_arm el_fair job_men ps_lead men_lead rel
## 3387 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn el_brb rel
## 3320 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn rel
## 3404 imp_rlg dut_ill ps_arm el_fair trs_ntn ps_lead el_brb rel
## 3405 imp_rlg dut_ill ps_arm el_fair trs_ntn men_lead el_brb rel
## 3524 imp_rlg ps_arm dut_chl el_fair job_men trs_ntn ps_lead rel
## 3332 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn el_brb rel
## 3378 imp_rlg dut_ill ps_arm el_fair job_men el_thr ps_lead rel
## 3390 imp_rlg dut_ill ps_arm el_fair job_men ps_lead el_brb rel
## 3399 imp_rlg dut_ill ps_arm el_fair el_thr ps_lead men_lead rel
## 3323 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr ps_lead rel
## 3406 imp_rlg dut_ill ps_arm el_fair ps_lead men_lead el_brb rel
## 3335 imp_rlg dut_ill ps_arm dut_chl el_fair ps_lead el_brb rel
## 3315 imp_rlg dut_ill ps_arm dut_chl el_fair job_men men_lead rel
## 3526 imp_rlg ps_arm dut_chl el_fair job_men trs_ntn men_lead rel
## 3325 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr men_lead rel
## 3306 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr rel
## 3579 imp_rlg ps_arm el_fair job_men trs_ntn ps_lead men_lead rel
## 3336 imp_rlg dut_ill ps_arm dut_chl el_fair men_lead el_brb rel
## 3534 imp_rlg ps_arm dut_chl el_fair el_thr trs_ntn ps_lead rel
## 3316 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_brb rel
## 3544 imp_rlg ps_arm dut_chl el_fair trs_ntn ps_lead el_brb rel
## 3536 imp_rlg ps_arm dut_chl el_fair el_thr trs_ntn men_lead rel
## 3545 imp_rlg ps_arm dut_chl el_fair trs_ntn men_lead el_brb rel
## 3380 imp_rlg dut_ill ps_arm el_fair job_men el_thr men_lead rel
## 3515 imp_rlg ps_arm dut_chl el_fair job_men el_thr trs_ntn rel
## 3391 imp_rlg dut_ill ps_arm el_fair job_men men_lead el_brb rel
## 3527 imp_rlg ps_arm dut_chl el_fair job_men trs_ntn el_brb rel
## 3397 imp_rlg dut_ill ps_arm el_fair el_thr trs_ntn el_brb rel
## 3529 imp_rlg ps_arm dut_chl el_fair job_men ps_lead men_lead rel
## 3570 imp_rlg ps_arm el_fair job_men el_thr trs_ntn ps_lead rel
## 3580 imp_rlg ps_arm el_fair job_men trs_ntn ps_lead el_brb rel
## 3381 imp_rlg dut_ill ps_arm el_fair job_men el_thr el_brb rel
## 3584 imp_rlg ps_arm el_fair el_thr trs_ntn ps_lead men_lead rel
## 3400 imp_rlg dut_ill ps_arm el_fair el_thr ps_lead el_brb rel
## 3539 imp_rlg ps_arm dut_chl el_fair el_thr ps_lead men_lead rel
## 3588 imp_rlg ps_arm el_fair trs_ntn ps_lead men_lead el_brb rel
## 3546 imp_rlg ps_arm dut_chl el_fair ps_lead men_lead el_brb rel
## 3518 imp_rlg ps_arm dut_chl el_fair job_men el_thr ps_lead rel
## 3530 imp_rlg ps_arm dut_chl el_fair job_men ps_lead el_brb rel
## 3401 imp_rlg dut_ill ps_arm el_fair el_thr men_lead el_brb rel
## 3326 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr el_brb rel
## 3572 imp_rlg ps_arm el_fair job_men el_thr trs_ntn men_lead rel
## 3581 imp_rlg ps_arm el_fair job_men trs_ntn men_lead el_brb rel
## 3419 imp_rlg dut_ill ps_arm job_men trs_ntn ps_lead el_brb rel
## 3409 imp_rlg dut_ill ps_arm job_men el_thr trs_ntn ps_lead rel
## 3537 imp_rlg ps_arm dut_chl el_fair el_thr trs_ntn el_brb rel
## 3427 imp_rlg dut_ill ps_arm trs_ntn ps_lead men_lead el_brb rel
## 3369 imp_rlg dut_ill ps_arm dut_chl trs_ntn ps_lead el_brb rel
## 3359 imp_rlg dut_ill ps_arm dut_chl el_thr trs_ntn ps_lead rel
## 3423 imp_rlg dut_ill ps_arm el_thr trs_ntn ps_lead men_lead rel
## 3575 imp_rlg ps_arm el_fair job_men el_thr ps_lead men_lead rel
## 3520 imp_rlg ps_arm dut_chl el_fair job_men el_thr men_lead rel
## 3582 imp_rlg ps_arm el_fair job_men ps_lead men_lead el_brb rel
## 3531 imp_rlg ps_arm dut_chl el_fair job_men men_lead el_brb rel
## 3573 imp_rlg ps_arm el_fair job_men el_thr trs_ntn el_brb rel
## 3368 imp_rlg dut_ill ps_arm dut_chl trs_ntn ps_lead men_lead rel
## 3349 imp_rlg dut_ill ps_arm dut_chl job_men trs_ntn ps_lead rel
## 3540 imp_rlg ps_arm dut_chl el_fair el_thr ps_lead el_brb rel
## 3352 imp_rlg dut_ill ps_arm dut_chl job_men trs_ntn el_brb rel
## 3370 imp_rlg dut_ill ps_arm dut_chl trs_ntn men_lead el_brb rel
## 3644 dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead rel
## 3663 dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead men_lead rel
## 3418 imp_rlg dut_ill ps_arm job_men trs_ntn ps_lead men_lead rel
## 3586 imp_rlg ps_arm el_fair el_thr trs_ntn men_lead el_brb rel
## 3340 imp_rlg dut_ill ps_arm dut_chl job_men el_thr trs_ntn rel
## 3361 imp_rlg dut_ill ps_arm dut_chl el_thr trs_ntn men_lead rel
## 3412 imp_rlg dut_ill ps_arm job_men el_thr trs_ntn el_brb rel
## 3521 imp_rlg ps_arm dut_chl el_fair job_men el_thr el_brb rel
## 3541 imp_rlg ps_arm dut_chl el_fair el_thr men_lead el_brb rel
## 3420 imp_rlg dut_ill ps_arm job_men trs_ntn men_lead el_brb rel
## 3424 imp_rlg dut_ill ps_arm el_thr trs_ntn ps_lead el_brb rel
## 3576 imp_rlg ps_arm el_fair job_men el_thr ps_lead el_brb rel
## 3411 imp_rlg dut_ill ps_arm job_men el_thr trs_ntn men_lead rel
## 3425 imp_rlg dut_ill ps_arm el_thr trs_ntn men_lead el_brb rel
## 3362 imp_rlg dut_ill ps_arm dut_chl el_thr trs_ntn el_brb rel
## 3585 imp_rlg ps_arm el_fair el_thr trs_ntn ps_lead el_brb rel
## 3699 dut_ill ps_arm el_fair job_men trs_ntn ps_lead men_lead rel
## 3559 imp_rlg ps_arm dut_chl job_men trs_ntn ps_lead el_brb rel
## 3646 dut_ill ps_arm dut_chl el_fair job_men trs_ntn men_lead rel
## 3567 imp_rlg ps_arm dut_chl trs_ntn ps_lead men_lead el_brb rel
## 3587 imp_rlg ps_arm el_fair el_thr ps_lead men_lead el_brb rel
## 3355 imp_rlg dut_ill ps_arm dut_chl job_men ps_lead el_brb rel
## 3635 dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn rel
## 3371 imp_rlg dut_ill ps_arm dut_chl ps_lead men_lead el_brb rel
## 3656 dut_ill ps_arm dut_chl el_fair el_thr trs_ntn men_lead rel
## 3690 dut_ill ps_arm el_fair job_men el_thr trs_ntn ps_lead rel
## 3647 dut_ill ps_arm dut_chl el_fair job_men trs_ntn el_brb rel
## 3415 imp_rlg dut_ill ps_arm job_men el_thr ps_lead el_brb rel
## 3421 imp_rlg dut_ill ps_arm job_men ps_lead men_lead el_brb rel
## 3343 imp_rlg dut_ill ps_arm dut_chl job_men el_thr ps_lead rel
## 3654 dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead rel
## 3549 imp_rlg ps_arm dut_chl job_men el_thr trs_ntn ps_lead rel
## 3665 dut_ill ps_arm dut_chl el_fair trs_ntn men_lead el_brb rel
## 3700 dut_ill ps_arm el_fair job_men trs_ntn ps_lead el_brb rel
## 3649 dut_ill ps_arm dut_chl el_fair job_men ps_lead men_lead rel
## 3563 imp_rlg ps_arm dut_chl el_thr trs_ntn ps_lead men_lead rel
## 3364 imp_rlg dut_ill ps_arm dut_chl el_thr ps_lead men_lead rel
## 3351 imp_rlg dut_ill ps_arm dut_chl job_men trs_ntn men_lead rel
## 3664 dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead el_brb rel
## 3638 dut_ill ps_arm dut_chl el_fair job_men el_thr ps_lead rel
## 3414 imp_rlg dut_ill ps_arm job_men el_thr ps_lead men_lead rel
## 3577 imp_rlg ps_arm el_fair job_men el_thr men_lead el_brb rel
## 3650 dut_ill ps_arm dut_chl el_fair job_men ps_lead el_brb rel
## 3426 imp_rlg dut_ill ps_arm el_thr ps_lead men_lead el_brb rel
## 3365 imp_rlg dut_ill ps_arm dut_chl el_thr ps_lead el_brb rel
## 3659 dut_ill ps_arm dut_chl el_fair el_thr ps_lead men_lead rel
## 3704 dut_ill ps_arm el_fair el_thr trs_ntn ps_lead men_lead rel
## 3666 dut_ill ps_arm dut_chl el_fair ps_lead men_lead el_brb rel
## 3692 dut_ill ps_arm el_fair job_men el_thr trs_ntn men_lead rel
## 3564 imp_rlg ps_arm dut_chl el_thr trs_ntn ps_lead el_brb rel
## 3708 dut_ill ps_arm el_fair trs_ntn ps_lead men_lead el_brb rel
## 3701 dut_ill ps_arm el_fair job_men trs_ntn men_lead el_brb rel
## 3594 imp_rlg ps_arm job_men trs_ntn ps_lead men_lead el_brb rel
## 3560 imp_rlg ps_arm dut_chl job_men trs_ntn men_lead el_brb rel
## 3552 imp_rlg ps_arm dut_chl job_men el_thr trs_ntn el_brb rel
## 3558 imp_rlg ps_arm dut_chl job_men trs_ntn ps_lead men_lead rel
## 3591 imp_rlg ps_arm job_men el_thr trs_ntn ps_lead el_brb rel
## 3695 dut_ill ps_arm el_fair job_men el_thr ps_lead men_lead rel
## 3565 imp_rlg ps_arm dut_chl el_thr trs_ntn men_lead el_brb rel
## 3346 imp_rlg dut_ill ps_arm dut_chl job_men el_thr el_brb rel
## 3763 ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead rel
## 3702 dut_ill ps_arm el_fair job_men ps_lead men_lead el_brb rel
## 3354 imp_rlg dut_ill ps_arm dut_chl job_men ps_lead men_lead rel
## 3640 dut_ill ps_arm dut_chl el_fair job_men el_thr men_lead rel
## 3590 imp_rlg ps_arm job_men el_thr trs_ntn ps_lead men_lead rel
## 3356 imp_rlg dut_ill ps_arm dut_chl job_men men_lead el_brb rel
## 3693 dut_ill ps_arm el_fair job_men el_thr trs_ntn el_brb rel
## 3366 imp_rlg dut_ill ps_arm dut_chl el_thr men_lead el_brb rel
## 3651 dut_ill ps_arm dut_chl el_fair job_men men_lead el_brb rel
## 3551 imp_rlg ps_arm dut_chl job_men el_thr trs_ntn men_lead rel
## 3754 ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead rel
## 3416 imp_rlg dut_ill ps_arm job_men el_thr men_lead el_brb rel
## 3764 ps_arm dut_chl el_fair job_men trs_ntn ps_lead el_brb rel
## 3657 dut_ill ps_arm dut_chl el_fair el_thr trs_ntn el_brb rel
## 3345 imp_rlg dut_ill ps_arm dut_chl job_men el_thr men_lead rel
## 3768 ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead rel
## 3595 imp_rlg ps_arm el_thr trs_ntn ps_lead men_lead el_brb rel
## 3696 dut_ill ps_arm el_fair job_men el_thr ps_lead el_brb rel
## 3772 ps_arm dut_chl el_fair trs_ntn ps_lead men_lead el_brb rel
## 3641 dut_ill ps_arm dut_chl el_fair job_men el_thr el_brb rel
## 3660 dut_ill ps_arm dut_chl el_fair el_thr ps_lead el_brb rel
## 3661 dut_ill ps_arm dut_chl el_fair el_thr men_lead el_brb rel
## 3706 dut_ill ps_arm el_fair el_thr trs_ntn men_lead el_brb rel
## 3561 imp_rlg ps_arm dut_chl job_men ps_lead men_lead el_brb rel
## 3555 imp_rlg ps_arm dut_chl job_men el_thr ps_lead el_brb rel
## 3756 ps_arm dut_chl el_fair job_men el_thr trs_ntn men_lead rel
## 3765 ps_arm dut_chl el_fair job_men trs_ntn men_lead el_brb rel
## 3592 imp_rlg ps_arm job_men el_thr trs_ntn men_lead el_brb rel
## 3566 imp_rlg ps_arm dut_chl el_thr ps_lead men_lead el_brb rel
## 3707 dut_ill ps_arm el_fair el_thr ps_lead men_lead el_brb rel
## 3697 dut_ill ps_arm el_fair job_men el_thr men_lead el_brb rel
## 3554 imp_rlg ps_arm dut_chl job_men el_thr ps_lead men_lead rel
## 3705 dut_ill ps_arm el_fair el_thr trs_ntn ps_lead el_brb rel
## 3757 ps_arm dut_chl el_fair job_men el_thr trs_ntn el_brb rel
## 3766 ps_arm dut_chl el_fair job_men ps_lead men_lead el_brb rel
## 3759 ps_arm dut_chl el_fair job_men el_thr ps_lead men_lead rel
## 3770 ps_arm dut_chl el_fair el_thr trs_ntn men_lead el_brb rel
## 3679 dut_ill ps_arm dut_chl job_men trs_ntn ps_lead el_brb rel
## 3593 imp_rlg ps_arm job_men el_thr ps_lead men_lead el_brb rel
## 3760 ps_arm dut_chl el_fair job_men el_thr ps_lead el_brb rel
## 3769 ps_arm dut_chl el_fair el_thr trs_ntn ps_lead el_brb rel
## 3669 dut_ill ps_arm dut_chl job_men el_thr trs_ntn ps_lead rel
## 3687 dut_ill ps_arm dut_chl trs_ntn ps_lead men_lead el_brb rel
## 3785 ps_arm el_fair job_men trs_ntn ps_lead men_lead el_brb rel
## 3556 imp_rlg ps_arm dut_chl job_men el_thr men_lead el_brb rel
## 3781 ps_arm el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 3495 imp_rlg dut_ill el_fair job_men trs_ntn ps_lead men_lead rel
## 3771 ps_arm dut_chl el_fair el_thr ps_lead men_lead el_brb rel
## 3459 imp_rlg dut_ill dut_chl el_fair trs_ntn ps_lead men_lead rel
## 3440 imp_rlg dut_ill dut_chl el_fair job_men trs_ntn ps_lead rel
## 3683 dut_ill ps_arm dut_chl el_thr trs_ntn ps_lead men_lead rel
## 3711 dut_ill ps_arm job_men el_thr trs_ntn ps_lead el_brb rel
## 3486 imp_rlg dut_ill el_fair job_men el_thr trs_ntn ps_lead rel
## 3672 dut_ill ps_arm dut_chl job_men el_thr trs_ntn el_brb rel
## 3714 dut_ill ps_arm job_men trs_ntn ps_lead men_lead el_brb rel
## 3680 dut_ill ps_arm dut_chl job_men trs_ntn men_lead el_brb rel
## 3684 dut_ill ps_arm dut_chl el_thr trs_ntn ps_lead el_brb rel
## 3761 ps_arm dut_chl el_fair job_men el_thr men_lead el_brb rel
## 3782 ps_arm el_fair job_men el_thr trs_ntn ps_lead el_brb rel
## 3710 dut_ill ps_arm job_men el_thr trs_ntn ps_lead men_lead rel
## 3685 dut_ill ps_arm dut_chl el_thr trs_ntn men_lead el_brb rel
## 3496 imp_rlg dut_ill el_fair job_men trs_ntn ps_lead el_brb rel
## 3500 imp_rlg dut_ill el_fair el_thr trs_ntn ps_lead men_lead rel
## 3671 dut_ill ps_arm dut_chl job_men el_thr trs_ntn men_lead rel
## 3445 imp_rlg dut_ill dut_chl el_fair job_men ps_lead men_lead rel
## 3675 dut_ill ps_arm dut_chl job_men el_thr ps_lead el_brb rel
## 3715 dut_ill ps_arm el_thr trs_ntn ps_lead men_lead el_brb rel
## 3712 dut_ill ps_arm job_men el_thr trs_ntn men_lead el_brb rel
## 3678 dut_ill ps_arm dut_chl job_men trs_ntn ps_lead men_lead rel
## 3491 imp_rlg dut_ill el_fair job_men el_thr ps_lead men_lead rel
## 3783 ps_arm el_fair job_men el_thr trs_ntn men_lead el_brb rel
## 3434 imp_rlg dut_ill dut_chl el_fair job_men el_thr ps_lead rel
## 3504 imp_rlg dut_ill el_fair trs_ntn ps_lead men_lead el_brb rel
## 3681 dut_ill ps_arm dut_chl job_men ps_lead men_lead el_brb rel
## 3455 imp_rlg dut_ill dut_chl el_fair el_thr ps_lead men_lead rel
## 3686 dut_ill ps_arm dut_chl el_thr ps_lead men_lead el_brb rel
## 3498 imp_rlg dut_ill el_fair job_men ps_lead men_lead el_brb rel
## 3674 dut_ill ps_arm dut_chl job_men el_thr ps_lead men_lead rel
## 3446 imp_rlg dut_ill dut_chl el_fair job_men ps_lead el_brb rel
## 3784 ps_arm el_fair job_men el_thr ps_lead men_lead el_brb rel
## 3786 ps_arm el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
## 3607 imp_rlg dut_chl el_fair job_men trs_ntn ps_lead men_lead rel
## 3778 ps_arm dut_chl job_men trs_ntn ps_lead men_lead el_brb rel
## 3775 ps_arm dut_chl job_men el_thr trs_ntn ps_lead el_brb rel
## 3450 imp_rlg dut_ill dut_chl el_fair el_thr trs_ntn ps_lead rel
## 3462 imp_rlg dut_ill dut_chl el_fair ps_lead men_lead el_brb rel
## 3713 dut_ill ps_arm job_men el_thr ps_lead men_lead el_brb rel
## 3598 imp_rlg dut_chl el_fair job_men el_thr trs_ntn ps_lead rel
## 3492 imp_rlg dut_ill el_fair job_men el_thr ps_lead el_brb rel
## 3676 dut_ill ps_arm dut_chl job_men el_thr men_lead el_brb rel
## 3779 ps_arm dut_chl el_thr trs_ntn ps_lead men_lead el_brb rel
## 3774 ps_arm dut_chl job_men el_thr trs_ntn ps_lead men_lead rel
## 3612 imp_rlg dut_chl el_fair el_thr trs_ntn ps_lead men_lead rel
## 3460 imp_rlg dut_ill dut_chl el_fair trs_ntn ps_lead el_brb rel
## 3608 imp_rlg dut_chl el_fair job_men trs_ntn ps_lead el_brb rel
## 3776 ps_arm dut_chl job_men el_thr trs_ntn men_lead el_brb rel
## 3616 imp_rlg dut_chl el_fair trs_ntn ps_lead men_lead el_brb rel
## 3503 imp_rlg dut_ill el_fair el_thr ps_lead men_lead el_brb rel
## 3625 imp_rlg el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 3603 imp_rlg dut_chl el_fair job_men el_thr ps_lead men_lead rel
## 3629 imp_rlg el_fair job_men trs_ntn ps_lead men_lead el_brb rel
## 3465 imp_rlg dut_ill dut_chl job_men el_thr trs_ntn ps_lead rel
## 3610 imp_rlg dut_chl el_fair job_men ps_lead men_lead el_brb rel
## 3506 imp_rlg dut_ill job_men el_thr trs_ntn ps_lead men_lead rel
## 3777 ps_arm dut_chl job_men el_thr ps_lead men_lead el_brb rel
## 3507 imp_rlg dut_ill job_men el_thr trs_ntn ps_lead el_brb rel
## 3510 imp_rlg dut_ill job_men trs_ntn ps_lead men_lead el_brb rel
## 3327 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead men_lead
## 3475 imp_rlg dut_ill dut_chl job_men trs_ntn ps_lead el_brb rel
## 3787 ps_arm job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 3307 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead
## 3479 imp_rlg dut_ill dut_chl el_thr trs_ntn ps_lead men_lead rel
## 3488 imp_rlg dut_ill el_fair job_men el_thr trs_ntn men_lead rel
## 3501 imp_rlg dut_ill el_fair el_thr trs_ntn ps_lead el_brb rel
## 3456 imp_rlg dut_ill dut_chl el_fair el_thr ps_lead el_brb rel
## 3442 imp_rlg dut_ill dut_chl el_fair job_men trs_ntn men_lead rel
## 3382 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn ps_lead men_lead
## 3483 imp_rlg dut_ill dut_chl trs_ntn ps_lead men_lead el_brb rel
## 3431 imp_rlg dut_ill dut_chl el_fair job_men el_thr trs_ntn rel
## 3604 imp_rlg dut_chl el_fair job_men el_thr ps_lead el_brb rel
## 3626 imp_rlg el_fair job_men el_thr trs_ntn ps_lead el_brb rel
## 3452 imp_rlg dut_ill dut_chl el_fair el_thr trs_ntn men_lead rel
## 3497 imp_rlg dut_ill el_fair job_men trs_ntn men_lead el_brb rel
## 3511 imp_rlg dut_ill el_thr trs_ntn ps_lead men_lead el_brb rel
## 3615 imp_rlg dut_chl el_fair el_thr ps_lead men_lead el_brb rel
## 3443 imp_rlg dut_ill dut_chl el_fair job_men trs_ntn el_brb rel
## 3372 imp_rlg dut_ill ps_arm el_fair job_men el_thr trs_ntn ps_lead
## 3474 imp_rlg dut_ill dut_chl job_men trs_ntn ps_lead men_lead rel
## 3461 imp_rlg dut_ill dut_chl el_fair trs_ntn men_lead el_brb rel
## 3308 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn men_lead
## 3471 imp_rlg dut_ill dut_chl job_men el_thr ps_lead el_brb rel
## 3718 dut_ill dut_chl el_fair job_men el_thr trs_ntn ps_lead rel
## 3489 imp_rlg dut_ill el_fair job_men el_thr trs_ntn el_brb rel
## 3727 dut_ill dut_chl el_fair job_men trs_ntn ps_lead men_lead rel
## 3628 imp_rlg el_fair job_men el_thr ps_lead men_lead el_brb rel
## 3509 imp_rlg dut_ill job_men el_thr ps_lead men_lead el_brb rel
## 3470 imp_rlg dut_ill dut_chl job_men el_thr ps_lead men_lead rel
## 3436 imp_rlg dut_ill dut_chl el_fair job_men el_thr men_lead rel
## 3613 imp_rlg dut_chl el_fair el_thr trs_ntn ps_lead el_brb rel
## 3477 imp_rlg dut_ill dut_chl job_men ps_lead men_lead el_brb rel
## 3630 imp_rlg el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
## 3480 imp_rlg dut_ill dut_chl el_thr trs_ntn ps_lead el_brb rel
## 3383 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn ps_lead el_brb
## 3622 imp_rlg dut_chl job_men trs_ntn ps_lead men_lead el_brb rel
## 3745 dut_ill el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 3618 imp_rlg dut_chl job_men el_thr trs_ntn ps_lead men_lead rel
## 3482 imp_rlg dut_ill dut_chl el_thr ps_lead men_lead el_brb rel
## 3392 imp_rlg dut_ill ps_arm el_fair el_thr trs_ntn ps_lead men_lead
## 3619 imp_rlg dut_chl job_men el_thr trs_ntn ps_lead el_brb rel
## 3728 dut_ill dut_chl el_fair job_men trs_ntn ps_lead el_brb rel
## 3732 dut_ill dut_chl el_fair el_thr trs_ntn ps_lead men_lead rel
## 3447 imp_rlg dut_ill dut_chl el_fair job_men men_lead el_brb rel
## 3723 dut_ill dut_chl el_fair job_men el_thr ps_lead men_lead rel
## 3302 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn
## 3600 imp_rlg dut_chl el_fair job_men el_thr trs_ntn men_lead rel
## 3402 imp_rlg dut_ill ps_arm el_fair trs_ntn ps_lead men_lead el_brb
## 3318 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn men_lead
## 3502 imp_rlg dut_ill el_fair el_thr trs_ntn men_lead el_brb rel
## 3749 dut_ill el_fair job_men trs_ntn ps_lead men_lead el_brb rel
## 3373 imp_rlg dut_ill ps_arm el_fair job_men el_thr trs_ntn men_lead
## 3493 imp_rlg dut_ill el_fair job_men el_thr men_lead el_brb rel
## 3623 imp_rlg dut_chl el_thr trs_ntn ps_lead men_lead el_brb rel
## 3736 dut_ill dut_chl el_fair trs_ntn ps_lead men_lead el_brb rel
## 3730 dut_ill dut_chl el_fair job_men ps_lead men_lead el_brb rel
## 3437 imp_rlg dut_ill dut_chl el_fair job_men el_thr el_brb rel
## 3309 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn el_brb
## 3317 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead
## 3609 imp_rlg dut_chl el_fair job_men trs_ntn men_lead el_brb rel
## 3330 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn men_lead el_brb
## 3385 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn men_lead el_brb
## 3631 imp_rlg job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 3746 dut_ill el_fair job_men el_thr trs_ntn ps_lead el_brb rel
## 3724 dut_ill dut_chl el_fair job_men el_thr ps_lead el_brb rel
## 3457 imp_rlg dut_ill dut_chl el_fair el_thr men_lead el_brb rel
## 3328 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead el_brb
## 3522 imp_rlg ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead
## 3748 dut_ill el_fair job_men el_thr ps_lead men_lead el_brb rel
## 3601 imp_rlg dut_chl el_fair job_men el_thr trs_ntn el_brb rel
## 3311 imp_rlg dut_ill ps_arm dut_chl el_fair job_men ps_lead men_lead
## 3789 dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 3621 imp_rlg dut_chl job_men el_thr ps_lead men_lead el_brb rel
## 3735 dut_ill dut_chl el_fair el_thr ps_lead men_lead el_brb rel
## 3453 imp_rlg dut_ill dut_chl el_fair el_thr trs_ntn el_brb rel
## 3508 imp_rlg dut_ill job_men el_thr trs_ntn men_lead el_brb rel
## 3467 imp_rlg dut_ill dut_chl job_men el_thr trs_ntn men_lead rel
## 3793 dut_chl el_fair job_men trs_ntn ps_lead men_lead el_brb rel
## 3468 imp_rlg dut_ill dut_chl job_men el_thr trs_ntn el_brb rel
## 3614 imp_rlg dut_chl el_fair el_thr trs_ntn men_lead el_brb rel
## 3374 imp_rlg dut_ill ps_arm el_fair job_men el_thr trs_ntn el_brb
## 3476 imp_rlg dut_ill dut_chl job_men trs_ntn men_lead el_brb rel
## 3512 imp_rlg ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead
## 3303 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr ps_lead
## 3627 imp_rlg el_fair job_men el_thr trs_ntn men_lead el_brb rel
## 3750 dut_ill el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
## 3532 imp_rlg ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead
## 3481 imp_rlg dut_ill dut_chl el_thr trs_ntn men_lead el_brb rel
## 3376 imp_rlg dut_ill ps_arm el_fair job_men el_thr ps_lead men_lead
## 3321 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr ps_lead men_lead
## 3523 imp_rlg ps_arm dut_chl el_fair job_men trs_ntn ps_lead el_brb
## 3790 dut_chl el_fair job_men el_thr trs_ntn ps_lead el_brb rel
## 3605 imp_rlg dut_chl el_fair job_men el_thr men_lead el_brb rel
## 3312 imp_rlg dut_ill ps_arm dut_chl el_fair job_men ps_lead el_brb
## 3720 dut_ill dut_chl el_fair job_men el_thr trs_ntn men_lead rel
## 3542 imp_rlg ps_arm dut_chl el_fair trs_ntn ps_lead men_lead el_brb
## 3739 dut_ill dut_chl job_men el_thr trs_ntn ps_lead el_brb rel
## 3733 dut_ill dut_chl el_fair el_thr trs_ntn ps_lead el_brb rel
## 3395 imp_rlg dut_ill ps_arm el_fair el_thr trs_ntn men_lead el_brb
## 3388 imp_rlg dut_ill ps_arm el_fair job_men ps_lead men_lead el_brb
## 3333 imp_rlg dut_ill ps_arm dut_chl el_fair ps_lead men_lead el_brb
## 3738 dut_ill dut_chl job_men el_thr trs_ntn ps_lead men_lead rel
## 3742 dut_ill dut_chl job_men trs_ntn ps_lead men_lead el_brb rel
## 3792 dut_chl el_fair job_men el_thr ps_lead men_lead el_brb rel
## 3751 dut_ill job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 3729 dut_ill dut_chl el_fair job_men trs_ntn men_lead el_brb rel
## 3794 dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
## 3513 imp_rlg ps_arm dut_chl el_fair job_men el_thr trs_ntn men_lead
## 3743 dut_ill dut_chl el_thr trs_ntn ps_lead men_lead el_brb rel
## 3472 imp_rlg dut_ill dut_chl job_men el_thr men_lead el_brb rel
## 3319 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn el_brb
## 3525 imp_rlg ps_arm dut_chl el_fair job_men trs_ntn men_lead el_brb
## 3721 dut_ill dut_chl el_fair job_men el_thr trs_ntn el_brb rel
## 3620 imp_rlg dut_chl job_men el_thr trs_ntn men_lead el_brb rel
## 3304 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr men_lead
## 3393 imp_rlg dut_ill ps_arm el_fair el_thr trs_ntn ps_lead el_brb
## 3741 dut_ill dut_chl job_men el_thr ps_lead men_lead el_brb rel
## 3377 imp_rlg dut_ill ps_arm el_fair job_men el_thr ps_lead el_brb
## 3568 imp_rlg ps_arm el_fair job_men el_thr trs_ntn ps_lead men_lead
## 3747 dut_ill el_fair job_men el_thr trs_ntn men_lead el_brb rel
## 3578 imp_rlg ps_arm el_fair job_men trs_ntn ps_lead men_lead el_brb
## 3314 imp_rlg dut_ill ps_arm dut_chl el_fair job_men men_lead el_brb
## 3796 el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 3337 imp_rlg dut_ill ps_arm dut_chl job_men el_thr trs_ntn ps_lead
## 3725 dut_ill dut_chl el_fair job_men el_thr men_lead el_brb rel
## 3734 dut_ill dut_chl el_fair el_thr trs_ntn men_lead el_brb rel
## 3348 imp_rlg dut_ill ps_arm dut_chl job_men trs_ntn ps_lead el_brb
## 3407 imp_rlg dut_ill ps_arm job_men el_thr trs_ntn ps_lead men_lead
## 3357 imp_rlg dut_ill ps_arm dut_chl el_thr trs_ntn ps_lead men_lead
## 3417 imp_rlg dut_ill ps_arm job_men trs_ntn ps_lead men_lead el_brb
## 3398 imp_rlg dut_ill ps_arm el_fair el_thr ps_lead men_lead el_brb
## 3795 dut_chl job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 3514 imp_rlg ps_arm dut_chl el_fair job_men el_thr trs_ntn el_brb
## 3367 imp_rlg dut_ill ps_arm dut_chl trs_ntn ps_lead men_lead el_brb
## 3408 imp_rlg dut_ill ps_arm job_men el_thr trs_ntn ps_lead el_brb
## 3305 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr el_brb
## 3535 imp_rlg ps_arm dut_chl el_fair el_thr trs_ntn men_lead el_brb
## 3347 imp_rlg dut_ill ps_arm dut_chl job_men trs_ntn ps_lead men_lead
## 3379 imp_rlg dut_ill ps_arm el_fair job_men el_thr men_lead el_brb
## 3324 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr men_lead el_brb
## 3791 dut_chl el_fair job_men el_thr trs_ntn men_lead el_brb rel
## 3322 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr ps_lead el_brb
## 3569 imp_rlg ps_arm el_fair job_men el_thr trs_ntn ps_lead el_brb
## 3516 imp_rlg ps_arm dut_chl el_fair job_men el_thr ps_lead men_lead
## 3740 dut_ill dut_chl job_men el_thr trs_ntn men_lead el_brb rel
## 3338 imp_rlg dut_ill ps_arm dut_chl job_men el_thr trs_ntn men_lead
## 3528 imp_rlg ps_arm dut_chl el_fair job_men ps_lead men_lead el_brb
## 3533 imp_rlg ps_arm dut_chl el_fair el_thr trs_ntn ps_lead el_brb
## 3422 imp_rlg dut_ill ps_arm el_thr trs_ntn ps_lead men_lead el_brb
## 3350 imp_rlg dut_ill ps_arm dut_chl job_men trs_ntn men_lead el_brb
## 3339 imp_rlg dut_ill ps_arm dut_chl job_men el_thr trs_ntn el_brb
## 3438 imp_rlg dut_ill dut_chl el_fair job_men trs_ntn ps_lead men_lead
## 3410 imp_rlg dut_ill ps_arm job_men el_thr trs_ntn men_lead el_brb
## 3358 imp_rlg dut_ill ps_arm dut_chl el_thr trs_ntn ps_lead el_brb
## 3571 imp_rlg ps_arm el_fair job_men el_thr trs_ntn men_lead el_brb
## 3360 imp_rlg dut_ill ps_arm dut_chl el_thr trs_ntn men_lead el_brb
## 3484 imp_rlg dut_ill el_fair job_men el_thr trs_ntn ps_lead men_lead
## 3583 imp_rlg ps_arm el_fair el_thr trs_ntn ps_lead men_lead el_brb
## 3428 imp_rlg dut_ill dut_chl el_fair job_men el_thr trs_ntn ps_lead
## 3517 imp_rlg ps_arm dut_chl el_fair job_men el_thr ps_lead el_brb
## 3494 imp_rlg dut_ill el_fair job_men trs_ntn ps_lead men_lead el_brb
## 3448 imp_rlg dut_ill dut_chl el_fair el_thr trs_ntn ps_lead men_lead
## 3557 imp_rlg ps_arm dut_chl job_men trs_ntn ps_lead men_lead el_brb
## 3538 imp_rlg ps_arm dut_chl el_fair el_thr ps_lead men_lead el_brb
## 3547 imp_rlg ps_arm dut_chl job_men el_thr trs_ntn ps_lead men_lead
## 3439 imp_rlg dut_ill dut_chl el_fair job_men trs_ntn ps_lead el_brb
## 3548 imp_rlg ps_arm dut_chl job_men el_thr trs_ntn ps_lead el_brb
## 3642 dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead
## 3458 imp_rlg dut_ill dut_chl el_fair trs_ntn ps_lead men_lead el_brb
## 3632 dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead
## 3562 imp_rlg ps_arm dut_chl el_thr trs_ntn ps_lead men_lead el_brb
## 3341 imp_rlg dut_ill ps_arm dut_chl job_men el_thr ps_lead men_lead
## 3353 imp_rlg dut_ill ps_arm dut_chl job_men ps_lead men_lead el_brb
## 3519 imp_rlg ps_arm dut_chl el_fair job_men el_thr men_lead el_brb
## 3485 imp_rlg dut_ill el_fair job_men el_thr trs_ntn ps_lead el_brb
## 3342 imp_rlg dut_ill ps_arm dut_chl job_men el_thr ps_lead el_brb
## 3574 imp_rlg ps_arm el_fair job_men el_thr ps_lead men_lead el_brb
## 3413 imp_rlg dut_ill ps_arm job_men el_thr ps_lead men_lead el_brb
## 3643 dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead el_brb
## 3432 imp_rlg dut_ill dut_chl el_fair job_men el_thr ps_lead men_lead
## 3633 dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn men_lead
## 3652 dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead
## 3550 imp_rlg ps_arm dut_chl job_men el_thr trs_ntn men_lead el_brb
## 3363 imp_rlg dut_ill ps_arm dut_chl el_thr ps_lead men_lead el_brb
## 3596 imp_rlg dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead
## 3589 imp_rlg ps_arm job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3688 dut_ill ps_arm el_fair job_men el_thr trs_ntn ps_lead men_lead
## 3645 dut_ill ps_arm dut_chl el_fair job_men trs_ntn men_lead el_brb
## 3662 dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead men_lead el_brb
## 3444 imp_rlg dut_ill dut_chl el_fair job_men ps_lead men_lead el_brb
## 3499 imp_rlg dut_ill el_fair el_thr trs_ntn ps_lead men_lead el_brb
## 3698 dut_ill ps_arm el_fair job_men trs_ntn ps_lead men_lead el_brb
## 3606 imp_rlg dut_chl el_fair job_men trs_ntn ps_lead men_lead el_brb
## 3634 dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn el_brb
## 3344 imp_rlg dut_ill ps_arm dut_chl job_men el_thr men_lead el_brb
## 3490 imp_rlg dut_ill el_fair job_men el_thr ps_lead men_lead el_brb
## 3429 imp_rlg dut_ill dut_chl el_fair job_men el_thr trs_ntn men_lead
## 3433 imp_rlg dut_ill dut_chl el_fair job_men el_thr ps_lead el_brb
## 3463 imp_rlg dut_ill dut_chl job_men el_thr trs_ntn ps_lead men_lead
## 3689 dut_ill ps_arm el_fair job_men el_thr trs_ntn ps_lead el_brb
## 3636 dut_ill ps_arm dut_chl el_fair job_men el_thr ps_lead men_lead
## 3597 imp_rlg dut_chl el_fair job_men el_thr trs_ntn ps_lead el_brb
## 3655 dut_ill ps_arm dut_chl el_fair el_thr trs_ntn men_lead el_brb
## 3648 dut_ill ps_arm dut_chl el_fair job_men ps_lead men_lead el_brb
## 3473 imp_rlg dut_ill dut_chl job_men trs_ntn ps_lead men_lead el_brb
## 3505 imp_rlg dut_ill job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3464 imp_rlg dut_ill dut_chl job_men el_thr trs_ntn ps_lead el_brb
## 3454 imp_rlg dut_ill dut_chl el_fair el_thr ps_lead men_lead el_brb
## 3441 imp_rlg dut_ill dut_chl el_fair job_men trs_ntn men_lead el_brb
## 3449 imp_rlg dut_ill dut_chl el_fair el_thr trs_ntn ps_lead el_brb
## 3691 dut_ill ps_arm el_fair job_men el_thr trs_ntn men_lead el_brb
## 3752 ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead
## 3611 imp_rlg dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb
## 3487 imp_rlg dut_ill el_fair job_men el_thr trs_ntn men_lead el_brb
## 3553 imp_rlg ps_arm dut_chl job_men el_thr ps_lead men_lead el_brb
## 3762 ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead el_brb
## 3637 dut_ill ps_arm dut_chl el_fair job_men el_thr ps_lead el_brb
## 3478 imp_rlg dut_ill dut_chl el_thr trs_ntn ps_lead men_lead el_brb
## 3430 imp_rlg dut_ill dut_chl el_fair job_men el_thr trs_ntn el_brb
## 3624 imp_rlg el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3653 dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead el_brb
## 3703 dut_ill ps_arm el_fair el_thr trs_ntn ps_lead men_lead el_brb
## 3451 imp_rlg dut_ill dut_chl el_fair el_thr trs_ntn men_lead el_brb
## 3658 dut_ill ps_arm dut_chl el_fair el_thr ps_lead men_lead el_brb
## 3639 dut_ill ps_arm dut_chl el_fair job_men el_thr men_lead el_brb
## 3694 dut_ill ps_arm el_fair job_men el_thr ps_lead men_lead el_brb
## 3753 ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead el_brb
## 3667 dut_ill ps_arm dut_chl job_men el_thr trs_ntn ps_lead men_lead
## 3668 dut_ill ps_arm dut_chl job_men el_thr trs_ntn ps_lead el_brb
## 3677 dut_ill ps_arm dut_chl job_men trs_ntn ps_lead men_lead el_brb
## 3602 imp_rlg dut_chl el_fair job_men el_thr ps_lead men_lead el_brb
## 3755 ps_arm dut_chl el_fair job_men el_thr trs_ntn men_lead el_brb
## 3617 imp_rlg dut_chl job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3767 ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb
## 3469 imp_rlg dut_ill dut_chl job_men el_thr ps_lead men_lead el_brb
## 3670 dut_ill ps_arm dut_chl job_men el_thr trs_ntn men_lead el_brb
## 3709 dut_ill ps_arm job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3716 dut_ill dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead
## 3682 dut_ill ps_arm dut_chl el_thr trs_ntn ps_lead men_lead el_brb
## 3435 imp_rlg dut_ill dut_chl el_fair job_men el_thr men_lead el_brb
## 3599 imp_rlg dut_chl el_fair job_men el_thr trs_ntn men_lead el_brb
## 3466 imp_rlg dut_ill dut_chl job_men el_thr trs_ntn men_lead el_brb
## 3726 dut_ill dut_chl el_fair job_men trs_ntn ps_lead men_lead el_brb
## 3758 ps_arm dut_chl el_fair job_men el_thr ps_lead men_lead el_brb
## 3717 dut_ill dut_chl el_fair job_men el_thr trs_ntn ps_lead el_brb
## 3780 ps_arm el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3673 dut_ill ps_arm dut_chl job_men el_thr ps_lead men_lead el_brb
## 3744 dut_ill el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3773 ps_arm dut_chl job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3731 dut_ill dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb
## 3722 dut_ill dut_chl el_fair job_men el_thr ps_lead men_lead el_brb
## 3737 dut_ill dut_chl job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3719 dut_ill dut_chl el_fair job_men el_thr trs_ntn men_lead el_brb
## 3788 dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3828 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead men_lead rel
## 3809 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead rel
## 3864 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn ps_lead men_lead rel
## 3855 imp_rlg dut_ill ps_arm el_fair job_men el_thr trs_ntn ps_lead rel
## 3869 imp_rlg dut_ill ps_arm el_fair el_thr trs_ntn ps_lead men_lead rel
## 3819 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead rel
## 3865 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn ps_lead el_brb rel
## 3873 imp_rlg dut_ill ps_arm el_fair trs_ntn ps_lead men_lead el_brb rel
## 3829 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead el_brb rel
## 3811 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn men_lead rel
## 3821 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn men_lead rel
## 3800 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn rel
## 3830 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn men_lead el_brb rel
## 3812 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn el_brb rel
## 3857 imp_rlg dut_ill ps_arm el_fair job_men el_thr trs_ntn men_lead rel
## 3814 imp_rlg dut_ill ps_arm dut_chl el_fair job_men ps_lead men_lead rel
## 3866 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn men_lead el_brb rel
## 3824 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr ps_lead men_lead rel
## 3928 imp_rlg ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead rel
## 3803 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr ps_lead rel
## 3831 imp_rlg dut_ill ps_arm dut_chl el_fair ps_lead men_lead el_brb rel
## 3815 imp_rlg dut_ill ps_arm dut_chl el_fair job_men ps_lead el_brb rel
## 3933 imp_rlg ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead rel
## 3860 imp_rlg dut_ill ps_arm el_fair job_men el_thr ps_lead men_lead rel
## 3937 imp_rlg ps_arm dut_chl el_fair trs_ntn ps_lead men_lead el_brb rel
## 3858 imp_rlg dut_ill ps_arm el_fair job_men el_thr trs_ntn el_brb rel
## 3867 imp_rlg dut_ill ps_arm el_fair job_men ps_lead men_lead el_brb rel
## 3919 imp_rlg ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead rel
## 3929 imp_rlg ps_arm dut_chl el_fair job_men trs_ntn ps_lead el_brb rel
## 3870 imp_rlg dut_ill ps_arm el_fair el_thr trs_ntn ps_lead el_brb rel
## 3871 imp_rlg dut_ill ps_arm el_fair el_thr trs_ntn men_lead el_brb rel
## 3822 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn el_brb rel
## 3861 imp_rlg dut_ill ps_arm el_fair job_men el_thr ps_lead el_brb rel
## 3872 imp_rlg dut_ill ps_arm el_fair el_thr ps_lead men_lead el_brb rel
## 3805 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr men_lead rel
## 3825 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr ps_lead el_brb rel
## 3816 imp_rlg dut_ill ps_arm dut_chl el_fair job_men men_lead el_brb rel
## 3921 imp_rlg ps_arm dut_chl el_fair job_men el_thr trs_ntn men_lead rel
## 3930 imp_rlg ps_arm dut_chl el_fair job_men trs_ntn men_lead el_brb rel
## 3946 imp_rlg ps_arm el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 3950 imp_rlg ps_arm el_fair job_men trs_ntn ps_lead men_lead el_brb rel
## 3826 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr men_lead el_brb rel
## 3806 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr el_brb rel
## 3934 imp_rlg ps_arm dut_chl el_fair el_thr trs_ntn ps_lead el_brb rel
## 3935 imp_rlg ps_arm dut_chl el_fair el_thr trs_ntn men_lead el_brb rel
## 3922 imp_rlg ps_arm dut_chl el_fair job_men el_thr trs_ntn el_brb rel
## 3862 imp_rlg dut_ill ps_arm el_fair job_men el_thr men_lead el_brb rel
## 3924 imp_rlg ps_arm dut_chl el_fair job_men el_thr ps_lead men_lead rel
## 3931 imp_rlg ps_arm dut_chl el_fair job_men ps_lead men_lead el_brb rel
## 3947 imp_rlg ps_arm el_fair job_men el_thr trs_ntn ps_lead el_brb rel
## 3852 imp_rlg dut_ill ps_arm dut_chl trs_ntn ps_lead men_lead el_brb rel
## 3844 imp_rlg dut_ill ps_arm dut_chl job_men trs_ntn ps_lead el_brb rel
## 3936 imp_rlg ps_arm dut_chl el_fair el_thr ps_lead men_lead el_brb rel
## 3951 imp_rlg ps_arm el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
## 3925 imp_rlg ps_arm dut_chl el_fair job_men el_thr ps_lead el_brb rel
## 3834 imp_rlg dut_ill ps_arm dut_chl job_men el_thr trs_ntn ps_lead rel
## 3848 imp_rlg dut_ill ps_arm dut_chl el_thr trs_ntn ps_lead men_lead rel
## 3876 imp_rlg dut_ill ps_arm job_men el_thr trs_ntn ps_lead el_brb rel
## 3879 imp_rlg dut_ill ps_arm job_men trs_ntn ps_lead men_lead el_brb rel
## 3875 imp_rlg dut_ill ps_arm job_men el_thr trs_ntn ps_lead men_lead rel
## 3849 imp_rlg dut_ill ps_arm dut_chl el_thr trs_ntn ps_lead el_brb rel
## 3948 imp_rlg ps_arm el_fair job_men el_thr trs_ntn men_lead el_brb rel
## 3880 imp_rlg dut_ill ps_arm el_thr trs_ntn ps_lead men_lead el_brb rel
## 3837 imp_rlg dut_ill ps_arm dut_chl job_men el_thr trs_ntn el_brb rel
## 3973 dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead rel
## 3850 imp_rlg dut_ill ps_arm dut_chl el_thr trs_ntn men_lead el_brb rel
## 3843 imp_rlg dut_ill ps_arm dut_chl job_men trs_ntn ps_lead men_lead rel
## 3845 imp_rlg dut_ill ps_arm dut_chl job_men trs_ntn men_lead el_brb rel
## 3926 imp_rlg ps_arm dut_chl el_fair job_men el_thr men_lead el_brb rel
## 3964 dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead rel
## 3949 imp_rlg ps_arm el_fair job_men el_thr ps_lead men_lead el_brb rel
## 3978 dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead rel
## 3974 dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead el_brb rel
## 3877 imp_rlg dut_ill ps_arm job_men el_thr trs_ntn men_lead el_brb rel
## 3836 imp_rlg dut_ill ps_arm dut_chl job_men el_thr trs_ntn men_lead rel
## 3982 dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead men_lead el_brb rel
## 3943 imp_rlg ps_arm dut_chl job_men trs_ntn ps_lead men_lead el_brb rel
## 3966 dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn men_lead rel
## 3940 imp_rlg ps_arm dut_chl job_men el_thr trs_ntn ps_lead el_brb rel
## 3840 imp_rlg dut_ill ps_arm dut_chl job_men el_thr ps_lead el_brb rel
## 3991 dut_ill ps_arm el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 3944 imp_rlg ps_arm dut_chl el_thr trs_ntn ps_lead men_lead el_brb rel
## 3975 dut_ill ps_arm dut_chl el_fair job_men trs_ntn men_lead el_brb rel
## 3846 imp_rlg dut_ill ps_arm dut_chl job_men ps_lead men_lead el_brb rel
## 3851 imp_rlg dut_ill ps_arm dut_chl el_thr ps_lead men_lead el_brb rel
## 3995 dut_ill ps_arm el_fair job_men trs_ntn ps_lead men_lead el_brb rel
## 3939 imp_rlg ps_arm dut_chl job_men el_thr trs_ntn ps_lead men_lead rel
## 3878 imp_rlg dut_ill ps_arm job_men el_thr ps_lead men_lead el_brb rel
## 3839 imp_rlg dut_ill ps_arm dut_chl job_men el_thr ps_lead men_lead rel
## 3969 dut_ill ps_arm dut_chl el_fair job_men el_thr ps_lead men_lead rel
## 3967 dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn el_brb rel
## 3976 dut_ill ps_arm dut_chl el_fair job_men ps_lead men_lead el_brb rel
## 3980 dut_ill ps_arm dut_chl el_fair el_thr trs_ntn men_lead el_brb rel
## 3992 dut_ill ps_arm el_fair job_men el_thr trs_ntn ps_lead el_brb rel
## 3979 dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead el_brb rel
## 3970 dut_ill ps_arm dut_chl el_fair job_men el_thr ps_lead el_brb rel
## 3941 imp_rlg ps_arm dut_chl job_men el_thr trs_ntn men_lead el_brb rel
## 3981 dut_ill ps_arm dut_chl el_fair el_thr ps_lead men_lead el_brb rel
## 3952 imp_rlg ps_arm job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 3996 dut_ill ps_arm el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
## 3993 dut_ill ps_arm el_fair job_men el_thr trs_ntn men_lead el_brb rel
## 3841 imp_rlg dut_ill ps_arm dut_chl job_men el_thr men_lead el_brb rel
## 4008 ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 4012 ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead el_brb rel
## 3994 dut_ill ps_arm el_fair job_men el_thr ps_lead men_lead el_brb rel
## 3971 dut_ill ps_arm dut_chl el_fair job_men el_thr men_lead el_brb rel
## 4009 ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead el_brb rel
## 4013 ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
## 3942 imp_rlg ps_arm dut_chl job_men el_thr ps_lead men_lead el_brb rel
## 4010 ps_arm dut_chl el_fair job_men el_thr trs_ntn men_lead el_brb rel
## 3985 dut_ill ps_arm dut_chl job_men el_thr trs_ntn ps_lead el_brb rel
## 4011 ps_arm dut_chl el_fair job_men el_thr ps_lead men_lead el_brb rel
## 3892 imp_rlg dut_ill dut_chl el_fair job_men trs_ntn ps_lead men_lead rel
## 3988 dut_ill ps_arm dut_chl job_men trs_ntn ps_lead men_lead el_brb rel
## 3910 imp_rlg dut_ill el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 3989 dut_ill ps_arm dut_chl el_thr trs_ntn ps_lead men_lead el_brb rel
## 3883 imp_rlg dut_ill dut_chl el_fair job_men el_thr trs_ntn ps_lead rel
## 3897 imp_rlg dut_ill dut_chl el_fair el_thr trs_ntn ps_lead men_lead rel
## 3984 dut_ill ps_arm dut_chl job_men el_thr trs_ntn ps_lead men_lead rel
## 3914 imp_rlg dut_ill el_fair job_men trs_ntn ps_lead men_lead el_brb rel
## 3997 dut_ill ps_arm job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4015 ps_arm el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 3893 imp_rlg dut_ill dut_chl el_fair job_men trs_ntn ps_lead el_brb rel
## 3986 dut_ill ps_arm dut_chl job_men el_thr trs_ntn men_lead el_brb rel
## 3901 imp_rlg dut_ill dut_chl el_fair trs_ntn ps_lead men_lead el_brb rel
## 3911 imp_rlg dut_ill el_fair job_men el_thr trs_ntn ps_lead el_brb rel
## 3888 imp_rlg dut_ill dut_chl el_fair job_men el_thr ps_lead men_lead rel
## 3987 dut_ill ps_arm dut_chl job_men el_thr ps_lead men_lead el_brb rel
## 3895 imp_rlg dut_ill dut_chl el_fair job_men ps_lead men_lead el_brb rel
## 3915 imp_rlg dut_ill el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
## 3954 imp_rlg dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 3913 imp_rlg dut_ill el_fair job_men el_thr ps_lead men_lead el_brb rel
## 3889 imp_rlg dut_ill dut_chl el_fair job_men el_thr ps_lead el_brb rel
## 4014 ps_arm dut_chl job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 3958 imp_rlg dut_chl el_fair job_men trs_ntn ps_lead men_lead el_brb rel
## 3900 imp_rlg dut_ill dut_chl el_fair el_thr ps_lead men_lead el_brb rel
## 3898 imp_rlg dut_ill dut_chl el_fair el_thr trs_ntn ps_lead el_brb rel
## 3955 imp_rlg dut_chl el_fair job_men el_thr trs_ntn ps_lead el_brb rel
## 3959 imp_rlg dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
## 3807 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead
## 3903 imp_rlg dut_ill dut_chl job_men el_thr trs_ntn ps_lead men_lead rel
## 3904 imp_rlg dut_ill dut_chl job_men el_thr trs_ntn ps_lead el_brb rel
## 3916 imp_rlg dut_ill job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 3885 imp_rlg dut_ill dut_chl el_fair job_men el_thr trs_ntn men_lead rel
## 3907 imp_rlg dut_ill dut_chl job_men trs_ntn ps_lead men_lead el_brb rel
## 3961 imp_rlg el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 3957 imp_rlg dut_chl el_fair job_men el_thr ps_lead men_lead el_brb rel
## 3908 imp_rlg dut_ill dut_chl el_thr trs_ntn ps_lead men_lead el_brb rel
## 3797 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead
## 3817 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead
## 3894 imp_rlg dut_ill dut_chl el_fair job_men trs_ntn men_lead el_brb rel
## 3853 imp_rlg dut_ill ps_arm el_fair job_men el_thr trs_ntn ps_lead men_lead
## 3827 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead men_lead el_brb
## 3808 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead el_brb
## 3912 imp_rlg dut_ill el_fair job_men el_thr trs_ntn men_lead el_brb rel
## 3863 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn ps_lead men_lead el_brb
## 3886 imp_rlg dut_ill dut_chl el_fair job_men el_thr trs_ntn el_brb rel
## 3999 dut_ill dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 3899 imp_rlg dut_ill dut_chl el_fair el_thr trs_ntn men_lead el_brb rel
## 3906 imp_rlg dut_ill dut_chl job_men el_thr ps_lead men_lead el_brb rel
## 3798 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn men_lead
## 4003 dut_ill dut_chl el_fair job_men trs_ntn ps_lead men_lead el_brb rel
## 3960 imp_rlg dut_chl job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 3810 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn men_lead el_brb
## 4000 dut_ill dut_chl el_fair job_men el_thr trs_ntn ps_lead el_brb rel
## 3854 imp_rlg dut_ill ps_arm el_fair job_men el_thr trs_ntn ps_lead el_brb
## 3890 imp_rlg dut_ill dut_chl el_fair job_men el_thr men_lead el_brb rel
## 4006 dut_ill el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4004 dut_ill dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
## 4002 dut_ill dut_chl el_fair job_men el_thr ps_lead men_lead el_brb rel
## 3868 imp_rlg dut_ill ps_arm el_fair el_thr trs_ntn ps_lead men_lead el_brb
## 3956 imp_rlg dut_chl el_fair job_men el_thr trs_ntn men_lead el_brb rel
## 3799 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn el_brb
## 3820 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn men_lead el_brb
## 3856 imp_rlg dut_ill ps_arm el_fair job_men el_thr trs_ntn men_lead el_brb
## 3818 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead el_brb
## 3917 imp_rlg ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead
## 3905 imp_rlg dut_ill dut_chl job_men el_thr trs_ntn men_lead el_brb rel
## 3801 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr ps_lead men_lead
## 3927 imp_rlg ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead el_brb
## 3813 imp_rlg dut_ill ps_arm dut_chl el_fair job_men ps_lead men_lead el_brb
## 4016 dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4005 dut_ill dut_chl job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 3918 imp_rlg ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead el_brb
## 3802 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr ps_lead el_brb
## 4001 dut_ill dut_chl el_fair job_men el_thr trs_ntn men_lead el_brb rel
## 3932 imp_rlg ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb
## 3859 imp_rlg dut_ill ps_arm el_fair job_men el_thr ps_lead men_lead el_brb
## 3823 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr ps_lead men_lead el_brb
## 3920 imp_rlg ps_arm dut_chl el_fair job_men el_thr trs_ntn men_lead el_brb
## 3832 imp_rlg dut_ill ps_arm dut_chl job_men el_thr trs_ntn ps_lead men_lead
## 3842 imp_rlg dut_ill ps_arm dut_chl job_men trs_ntn ps_lead men_lead el_brb
## 3833 imp_rlg dut_ill ps_arm dut_chl job_men el_thr trs_ntn ps_lead el_brb
## 3804 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr men_lead el_brb
## 3874 imp_rlg dut_ill ps_arm job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3945 imp_rlg ps_arm el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3847 imp_rlg dut_ill ps_arm dut_chl el_thr trs_ntn ps_lead men_lead el_brb
## 3835 imp_rlg dut_ill ps_arm dut_chl job_men el_thr trs_ntn men_lead el_brb
## 3881 imp_rlg dut_ill dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead
## 3923 imp_rlg ps_arm dut_chl el_fair job_men el_thr ps_lead men_lead el_brb
## 3891 imp_rlg dut_ill dut_chl el_fair job_men trs_ntn ps_lead men_lead el_brb
## 3938 imp_rlg ps_arm dut_chl job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3909 imp_rlg dut_ill el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3882 imp_rlg dut_ill dut_chl el_fair job_men el_thr trs_ntn ps_lead el_brb
## 3962 dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead
## 3896 imp_rlg dut_ill dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb
## 3972 dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead el_brb
## 3838 imp_rlg dut_ill ps_arm dut_chl job_men el_thr ps_lead men_lead el_brb
## 3963 dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead el_brb
## 3965 dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn men_lead el_brb
## 3887 imp_rlg dut_ill dut_chl el_fair job_men el_thr ps_lead men_lead el_brb
## 3977 dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb
## 3953 imp_rlg dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3990 dut_ill ps_arm el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3902 imp_rlg dut_ill dut_chl job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3884 imp_rlg dut_ill dut_chl el_fair job_men el_thr trs_ntn men_lead el_brb
## 3968 dut_ill ps_arm dut_chl el_fair job_men el_thr ps_lead men_lead el_brb
## 4007 ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3983 dut_ill ps_arm dut_chl job_men el_thr trs_ntn ps_lead men_lead el_brb
## 3998 dut_ill dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb
## 4028 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead rel
## 4033 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead rel
## 4037 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead men_lead el_brb rel
## 4019 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead rel
## 4029 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead el_brb rel
## 4046 imp_rlg dut_ill ps_arm el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 4050 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn ps_lead men_lead el_brb rel
## 4021 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn men_lead rel
## 4047 imp_rlg dut_ill ps_arm el_fair job_men el_thr trs_ntn ps_lead el_brb rel
## 4051 imp_rlg dut_ill ps_arm el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
## 4034 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead el_brb rel
## 4030 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn men_lead el_brb rel
## 4035 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn men_lead el_brb rel
## 4022 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn el_brb rel
## 4024 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr ps_lead men_lead rel
## 4031 imp_rlg dut_ill ps_arm dut_chl el_fair job_men ps_lead men_lead el_brb rel
## 4048 imp_rlg dut_ill ps_arm el_fair job_men el_thr trs_ntn men_lead el_brb rel
## 4063 imp_rlg ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 4067 imp_rlg ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead el_brb rel
## 4036 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr ps_lead men_lead el_brb rel
## 4025 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr ps_lead el_brb rel
## 4068 imp_rlg ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
## 4049 imp_rlg dut_ill ps_arm el_fair job_men el_thr ps_lead men_lead el_brb rel
## 4064 imp_rlg ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead el_brb rel
## 4026 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr men_lead el_brb rel
## 4065 imp_rlg ps_arm dut_chl el_fair job_men el_thr trs_ntn men_lead el_brb rel
## 4070 imp_rlg ps_arm el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4066 imp_rlg ps_arm dut_chl el_fair job_men el_thr ps_lead men_lead el_brb rel
## 4040 imp_rlg dut_ill ps_arm dut_chl job_men el_thr trs_ntn ps_lead el_brb rel
## 4044 imp_rlg dut_ill ps_arm dut_chl el_thr trs_ntn ps_lead men_lead el_brb rel
## 4043 imp_rlg dut_ill ps_arm dut_chl job_men trs_ntn ps_lead men_lead el_brb rel
## 4039 imp_rlg dut_ill ps_arm dut_chl job_men el_thr trs_ntn ps_lead men_lead rel
## 4052 imp_rlg dut_ill ps_arm job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4041 imp_rlg dut_ill ps_arm dut_chl job_men el_thr trs_ntn men_lead el_brb rel
## 4073 dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 4077 dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead el_brb rel
## 4074 dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead el_brb rel
## 4078 dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
## 4069 imp_rlg ps_arm dut_chl job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4042 imp_rlg dut_ill ps_arm dut_chl job_men el_thr ps_lead men_lead el_brb rel
## 4075 dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn men_lead el_brb rel
## 4080 dut_ill ps_arm el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4076 dut_ill ps_arm dut_chl el_fair job_men el_thr ps_lead men_lead el_brb rel
## 4082 ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4054 imp_rlg dut_ill dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 4079 dut_ill ps_arm dut_chl job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4058 imp_rlg dut_ill dut_chl el_fair job_men trs_ntn ps_lead men_lead el_brb rel
## 4061 imp_rlg dut_ill el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4055 imp_rlg dut_ill dut_chl el_fair job_men el_thr trs_ntn ps_lead el_brb rel
## 4059 imp_rlg dut_ill dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
## 4057 imp_rlg dut_ill dut_chl el_fair job_men el_thr ps_lead men_lead el_brb rel
## 4071 imp_rlg dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4060 imp_rlg dut_ill dut_chl job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4017 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead
## 4027 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead el_brb
## 4056 imp_rlg dut_ill dut_chl el_fair job_men el_thr trs_ntn men_lead el_brb rel
## 4018 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead el_brb
## 4032 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb
## 4045 imp_rlg dut_ill ps_arm el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb
## 4081 dut_ill dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4020 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn men_lead el_brb
## 4062 imp_rlg ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb
## 4023 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr ps_lead men_lead el_brb
## 4038 imp_rlg dut_ill ps_arm dut_chl job_men el_thr trs_ntn ps_lead men_lead el_brb
## 4053 imp_rlg dut_ill dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb
## 4072 dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb
## 4084 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 4088 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead el_brb rel
## 4089 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
## 4085 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead el_brb rel
## 4091 imp_rlg dut_ill ps_arm el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4086 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn men_lead el_brb rel
## 4087 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr ps_lead men_lead el_brb rel
## 4093 imp_rlg ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4090 imp_rlg dut_ill ps_arm dut_chl job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4094 dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4092 imp_rlg dut_ill dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## 4083 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb
## 4095 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## R-Square Adj. R-Square Mallow's Cp
## 12 0.30599532 0.30537733 297.33998
## 6 0.17233261 0.17159559 570.50698
## 1 0.17118149 0.17044345 572.85952
## 3 0.16741166 0.16667027 580.56392
## 2 0.15247706 0.15172237 611.08583
## 4 0.12447559 0.12369596 668.31253
## 10 0.12388543 0.12310528 669.51865
## 9 0.11313795 0.11234822 691.48332
## 5 0.09439178 0.09358536 729.79493
## 8 0.08266078 0.08184391 753.76963
## 7 0.05223367 0.05138971 815.95363
## 11 0.04559950 0.04474963 829.51190
## 42 0.37525039 0.37413676 157.80313
## 23 0.34000079 0.33882432 229.84287
## 63 0.33933252 0.33815486 231.20863
## 33 0.33768964 0.33650905 234.56618
## 75 0.33679542 0.33561323 236.39371
## 57 0.33120727 0.33001513 247.81421
## 50 0.33013381 0.32893975 250.00807
## 77 0.32944985 0.32825457 251.40588
## 78 0.31996691 0.31875473 270.78619
## 68 0.31972418 0.31851156 271.28227
## 72 0.31888240 0.31766829 273.00261
## 14 0.28128886 0.28000773 349.83267
## 24 0.25774645 0.25642336 397.94637
## 17 0.25577403 0.25444742 401.97742
## 36 0.25121879 0.24988406 411.28699
## 13 0.25004810 0.24871129 413.67952
## 20 0.24458965 0.24324311 424.83498
## 27 0.23844365 0.23708615 437.39559
## 34 0.23822272 0.23686483 437.84709
## 21 0.23483562 0.23347169 444.76932
## 35 0.23466400 0.23329976 445.12008
## 51 0.23356040 0.23219419 447.37551
## 16 0.22988964 0.22851690 454.87744
## 60 0.22584973 0.22446978 463.13382
## 15 0.22544392 0.22406325 463.96318
## 19 0.22514920 0.22376801 464.56550
## 40 0.22494141 0.22355984 464.99017
## 38 0.22192170 0.22053475 471.16156
## 30 0.21889321 0.21750086 477.35089
## 59 0.21574881 0.21435086 483.77711
## 26 0.21434624 0.21294579 486.64355
## 31 0.21357775 0.21217593 488.21411
## 44 0.20967465 0.20826587 496.19090
## 58 0.20394906 0.20253008 507.89231
## 39 0.20377062 0.20235132 508.25699
## 62 0.20280438 0.20138335 510.23169
## 43 0.19869419 0.19726583 518.63171
## 47 0.19830901 0.19687997 519.41891
## 29 0.19826052 0.19683140 519.51799
## 18 0.19811029 0.19668090 519.82503
## 55 0.19804466 0.19661515 519.95915
## 25 0.19617128 0.19473843 523.78779
## 61 0.19423880 0.19280251 527.73719
## 22 0.19353222 0.19209467 529.18124
## 73 0.19243276 0.19099325 531.42821
## 41 0.19145163 0.19001036 533.43336
## 37 0.18987354 0.18842947 536.65850
## 48 0.18872561 0.18727949 539.00453
## 28 0.18725105 0.18580230 542.01810
## 46 0.18108513 0.17962539 554.61940
## 54 0.17952652 0.17806400 557.80475
## 70 0.17936932 0.17790652 558.12601
## 32 0.17843535 0.17697089 560.03477
## 69 0.16643983 0.16495398 584.55007
## 45 0.16510508 0.16361686 587.27789
## 49 0.15998566 0.15848831 597.74047
## 66 0.15740102 0.15589906 603.02272
## 76 0.15648115 0.15497755 604.90265
## 53 0.14964264 0.14812685 618.87855
## 65 0.14383511 0.14230897 630.74740
## 74 0.14038067 0.13884837 637.80728
## 64 0.12267239 0.12110852 673.99775
## 71 0.11572208 0.11414582 688.20213
## 52 0.11347312 0.11189286 692.79832
## 56 0.10433746 0.10274092 711.46890
## 67 0.06825529 0.06659443 785.21018
## 97 0.40138244 0.39978043 106.39696
## 193 0.39679983 0.39518556 115.76246
## 142 0.39540266 0.39378465 118.61786
## 186 0.38972300 0.38808979 130.22540
## 199 0.38915025 0.38751550 131.39594
## 208 0.38535848 0.38371359 139.14519
## 213 0.38487455 0.38322836 140.13421
## 211 0.38378882 0.38213973 142.35311
## 214 0.38363554 0.38198604 142.66637
## 204 0.38140318 0.37974770 147.22865
## 130 0.36862604 0.36693637 173.34135
## 88 0.36390905 0.36220675 182.98148
## 118 0.36341146 0.36170783 183.99840
## 248 0.36302367 0.36131901 184.79092
## 112 0.36266801 0.36096239 185.51779
## 175 0.36256414 0.36085824 185.73007
## 275 0.36134666 0.35963751 188.21824
## 157 0.36029480 0.35858283 190.36793
## 163 0.35947531 0.35776115 192.04271
## 260 0.35797971 0.35626155 195.09929
## 132 0.35785850 0.35614002 195.34700
## 239 0.35624774 0.35452494 198.63892
## 221 0.35551163 0.35378687 200.14330
## 105 0.35541407 0.35368905 200.34269
## 262 0.35483061 0.35310402 201.53511
## 296 0.35401339 0.35228461 203.20527
## 177 0.35339308 0.35166265 204.47300
## 127 0.35327963 0.35154889 204.70485
## 278 0.35255114 0.35081845 206.19367
## 268 0.35157020 0.34983489 208.19842
## 123 0.35062733 0.34888949 210.12537
## 133 0.35036032 0.34862177 210.67106
## 168 0.35025285 0.34851400 210.89071
## 227 0.35006049 0.34832114 211.28382
## 272 0.34982094 0.34808094 211.77341
## 178 0.34880718 0.34706447 213.84523
## 150 0.34880686 0.34706415 213.84588
## 172 0.34776883 0.34602334 215.96730
## 297 0.34694983 0.34520214 217.64110
## 285 0.34647954 0.34473060 218.60223
## 291 0.34646602 0.34471704 218.62986
## 241 0.34561514 0.34386389 220.36881
## 277 0.34546102 0.34370936 220.68378
## 242 0.34385778 0.34210182 223.96033
## 232 0.34384461 0.34208862 223.98725
## 298 0.34229284 0.34053269 227.15861
## 236 0.34204624 0.34028544 227.66258
## 293 0.34111361 0.33935031 229.56860
## 287 0.34110652 0.33934320 229.58309
## 257 0.34077834 0.33901414 230.25380
## 253 0.33701574 0.33524147 237.94344
## 263 0.33533577 0.33355701 241.37679
## 282 0.33161967 0.32983096 248.97140
## 294 0.33129933 0.32950976 249.62609
## 79 0.32998842 0.32819535 252.30518
## 90 0.32660862 0.32480651 259.21249
## 288 0.32557315 0.32376826 261.32870
## 91 0.32068758 0.31886962 271.31335
## 93 0.31977845 0.31795805 273.17134
## 89 0.31262145 0.31078190 287.79813
## 95 0.31061583 0.30877091 291.89703
## 135 0.30669638 0.30484097 299.90723
## 94 0.30649013 0.30463417 300.32873
## 187 0.30285415 0.30098846 307.75960
## 106 0.30149149 0.29962215 310.54448
## 136 0.30072010 0.29884870 312.12096
## 85 0.30045623 0.29858412 312.66025
## 115 0.29928990 0.29741467 315.04387
## 82 0.29769553 0.29581603 318.30230
## 179 0.29555667 0.29367145 322.67350
## 81 0.29465824 0.29277061 324.50962
## 96 0.29359629 0.29170582 326.67993
## 92 0.29304483 0.29115289 327.80694
## 138 0.29171441 0.28981891 330.52592
## 114 0.29072424 0.28882609 332.54955
## 109 0.28790776 0.28600207 338.30560
## 140 0.28739167 0.28548460 339.36033
## 151 0.28687985 0.28497141 340.40633
## 195 0.28672702 0.28481818 340.71867
## 86 0.28650586 0.28459642 341.17067
## 110 0.28628680 0.28437678 341.61835
## 128 0.28567852 0.28376687 342.86150
## 84 0.28538039 0.28346794 343.47080
## 134 0.28447808 0.28256322 345.31484
## 191 0.28401304 0.28209692 346.26526
## 102 0.28191775 0.27999603 350.54741
## 124 0.28122588 0.27930231 351.96138
## 139 0.28053835 0.27861294 353.36649
## 180 0.27947068 0.27754241 355.54849
## 182 0.27935929 0.27743073 355.77613
## 98 0.27841256 0.27648146 357.71098
## 160 0.27818999 0.27625830 358.16584
## 113 0.27605857 0.27412117 362.52183
## 125 0.27579293 0.27385482 363.06473
## 137 0.27475470 0.27281381 365.18655
## 99 0.27470263 0.27276160 365.29298
## 245 0.27468086 0.27273977 365.33747
## 117 0.27446907 0.27252742 365.77030
## 141 0.27302375 0.27107823 368.72410
## 196 0.27279230 0.27084616 369.19713
## 189 0.27161002 0.26966072 371.61335
## 83 0.27125345 0.26930319 372.34207
## 198 0.27122686 0.26927653 372.39642
## 116 0.27052674 0.26857454 373.82725
## 80 0.27026513 0.26831223 374.36190
## 184 0.26898014 0.26702379 376.98805
## 159 0.26888214 0.26692553 377.18833
## 194 0.26882127 0.26686450 377.31273
## 101 0.26864899 0.26669176 377.66483
## 155 0.26849781 0.26654018 377.97379
## 108 0.26794261 0.26598349 379.10844
## 206 0.26735452 0.26539383 380.31033
## 215 0.26700966 0.26504805 381.01511
## 154 0.26629747 0.26433395 382.47062
## 103 0.26531568 0.26334953 384.47711
## 87 0.26516197 0.26319541 384.79126
## 158 0.26408370 0.26211426 386.99491
## 183 0.26371019 0.26173974 387.75827
## 197 0.26342240 0.26145119 388.34642
## 244 0.26291115 0.26093857 389.39126
## 120 0.26065086 0.25867223 394.01062
## 173 0.26057775 0.25859892 394.16004
## 190 0.26054433 0.25856541 394.22834
## 162 0.25999794 0.25801756 395.34500
## 185 0.25908356 0.25710073 397.21373
## 129 0.25809031 0.25610483 399.24362
## 181 0.25807565 0.25609012 399.27360
## 269 0.25802813 0.25604248 399.37070
## 224 0.25560310 0.25361096 404.32676
## 121 0.25456679 0.25257188 406.44465
## 218 0.25434807 0.25235257 406.89165
## 143 0.25393312 0.25193651 407.73970
## 246 0.25371127 0.25171406 408.19309
## 219 0.25329993 0.25130163 409.03374
## 131 0.25315134 0.25115264 409.33741
## 144 0.25270486 0.25070496 410.24990
## 161 0.25211145 0.25010997 411.46264
## 169 0.25096608 0.24896153 413.80345
## 147 0.25093237 0.24892773 413.87234
## 209 0.25085491 0.24885006 414.03065
## 100 0.25024287 0.24823638 415.28148
## 170 0.24947377 0.24746522 416.85329
## 258 0.24937414 0.24736533 417.05689
## 223 0.24784381 0.24583090 420.18444
## 265 0.24756695 0.24555330 420.75027
## 205 0.24753725 0.24552353 420.81095
## 274 0.24715381 0.24513906 421.59460
## 119 0.24630576 0.24428874 423.32776
## 104 0.24622141 0.24420416 423.50015
## 153 0.24568501 0.24366632 424.59640
## 243 0.24513372 0.24311356 425.72307
## 212 0.24512971 0.24310954 425.73126
## 202 0.24219552 0.24016750 431.72787
## 264 0.24188894 0.23986010 432.35443
## 126 0.24156801 0.23953831 433.01032
## 273 0.24154168 0.23951191 433.06413
## 165 0.24152391 0.23949409 433.10044
## 237 0.24134633 0.23931604 433.46336
## 247 0.24078941 0.23875763 434.60154
## 188 0.24031646 0.23828341 435.56812
## 271 0.23976064 0.23772610 436.70404
## 207 0.23966623 0.23763144 436.89700
## 166 0.23952481 0.23748964 437.18602
## 222 0.23947886 0.23744357 437.27991
## 200 0.23937917 0.23734361 437.48365
## 107 0.23911727 0.23708101 438.01890
## 148 0.23861229 0.23657467 439.05094
## 192 0.23820351 0.23616480 439.88636
## 226 0.23787059 0.23583100 440.56674
## 233 0.23760310 0.23556279 441.11342
## 217 0.23637691 0.23433331 443.61939
## 146 0.23588454 0.23383963 444.62564
## 174 0.23584991 0.23380491 444.69642
## 176 0.23517700 0.23313020 446.07164
## 255 0.23486830 0.23282067 446.70253
## 270 0.23443120 0.23238240 447.59585
## 111 0.23371916 0.23166845 449.05105
## 234 0.23278124 0.23072802 450.96787
## 289 0.23191726 0.22986173 452.73360
## 145 0.22827272 0.22620743 460.18196
## 152 0.22779677 0.22573022 461.15465
## 164 0.22692466 0.22485577 462.93698
## 225 0.22613610 0.22406510 464.54857
## 229 0.22445728 0.22238179 467.97958
## 210 0.22240247 0.22032147 472.17901
## 276 0.22214813 0.22006646 472.69880
## 266 0.22204369 0.21996174 472.91224
## 238 0.22150532 0.21942193 474.01251
## 201 0.22120394 0.21911974 474.62845
## 149 0.22103223 0.21894757 474.97937
## 156 0.21940171 0.21731268 478.31168
## 230 0.21881832 0.21672774 479.50395
## 171 0.21857465 0.21648341 480.00194
## 240 0.21740173 0.21530736 482.39903
## 254 0.21642441 0.21432742 484.39639
## 267 0.21578040 0.21368169 485.71255
## 283 0.21431717 0.21221454 488.70296
## 295 0.21415392 0.21205086 489.03659
## 216 0.21374100 0.21163683 489.88048
## 228 0.21359621 0.21149165 490.17639
## 251 0.20890965 0.20679255 499.75433
## 235 0.20809037 0.20597108 501.42870
## 220 0.20653507 0.20441161 504.60727
## 280 0.20623636 0.20411210 505.21774
## 122 0.20596906 0.20384409 505.76403
## 261 0.20451603 0.20238717 508.73359
## 292 0.20418123 0.20205147 509.41783
## 203 0.20018597 0.19804552 517.58295
## 167 0.19536389 0.19321054 527.43784
## 279 0.19148476 0.18932103 535.36564
## 250 0.19009266 0.18792520 538.21068
## 290 0.18742214 0.18524753 543.66844
## 259 0.18470097 0.18251908 549.22971
## 231 0.17771220 0.17551161 563.51267
## 286 0.17015766 0.16793685 578.95192
## 249 0.16578450 0.16355199 587.88937
## 256 0.15756609 0.15531158 604.68536
## 284 0.15394778 0.15168359 612.08011
## 281 0.13396365 0.13164598 652.92174
## 252 0.11639998 0.11403531 688.81668
## 358 0.42103843 0.41897071 68.22595
## 307 0.41649101 0.41440705 77.51951
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## 1221 0.28515669 0.28196258 347.92796
## 1486 0.28511246 0.28191814 348.01837
## 1241 0.28486517 0.28166975 348.52376
## 1500 0.28461336 0.28141681 349.03838
## 1496 0.28439114 0.28119361 349.49252
## 1325 0.28398919 0.28078986 350.31399
## 1535 0.28372437 0.28052386 350.85520
## 1566 0.28341861 0.28021673 351.48009
## 1508 0.28296887 0.27976498 352.39922
## 1306 0.28269229 0.27948716 352.96447
## 1550 0.28236582 0.27915923 353.63168
## 1497 0.28114977 0.27793775 356.11692
## 1463 0.28024749 0.27703143 357.96093
## 1560 0.27952524 0.27630596 359.43699
## 1286 0.27844436 0.27522025 361.64599
## 1249 0.27829881 0.27507405 361.94345
## 1407 0.27743827 0.27420966 363.70213
## 1322 0.27712944 0.27389945 364.33330
## 1071 0.27656913 0.27333665 365.47839
## 1532 0.27533429 0.27209628 368.00205
## 1284 0.27503104 0.27179168 368.62179
## 1320 0.27468644 0.27144554 369.32605
## 1451 0.27220710 0.26895512 374.39310
## 1251 0.27152312 0.26826808 375.79095
## 1521 0.26999805 0.26673620 378.90774
## 1571 0.26931361 0.26604870 380.30653
## 1246 0.26886142 0.26559449 381.23067
## 1446 0.26762818 0.26435574 383.75104
## 1217 0.26745058 0.26417734 384.11402
## 1568 0.26620248 0.26292367 386.66476
## 1516 0.26618261 0.26290371 386.70536
## 1518 0.26589115 0.26261095 387.30102
## 1410 0.26563790 0.26235657 387.81859
## 1537 0.26541814 0.26213582 388.26773
## 1482 0.26531870 0.26203594 388.47095
## 1480 0.26481755 0.26153255 389.49515
## 1502 0.26320743 0.25991524 392.78575
## 1281 0.25850231 0.25518909 402.40164
## 1556 0.25722565 0.25390673 405.01074
## 1580 0.25707221 0.25375261 405.32432
## 1477 0.25134562 0.24800043 417.02777
## 1553 0.24617124 0.24280293 427.60267
## 1551 0.22705157 0.22359782 466.67762
## 1628 0.44151504 0.43851780 30.37783
## 1631 0.44063533 0.43763337 32.17570
## 1619 0.44031227 0.43730858 32.83593
## 1633 0.43996003 0.43695445 33.55580
## 1592 0.43926688 0.43625758 34.97239
## 1810 0.43786063 0.43484378 37.84635
## 1860 0.43672751 0.43370458 40.16211
## 1813 0.43636938 0.43334453 40.89402
## 1624 0.43595515 0.43292808 41.74059
## 1881 0.43591333 0.43288603 41.82605
## 1634 0.43552245 0.43249306 42.62489
## 1815 0.43540126 0.43237121 42.87258
## 1863 0.43531221 0.43228168 43.05457
## 1801 0.43514191 0.43211047 43.40262
## 1879 0.43481349 0.43178029 44.07380
## 1884 0.43435676 0.43132110 45.00723
## 1865 0.43231176 0.42926513 49.18660
## 1806 0.43151078 0.42845986 50.82356
## 1662 0.43139772 0.42834619 51.05462
## 1816 0.43132699 0.42827508 51.19918
## 1856 0.43068135 0.42762598 52.51867
## 1866 0.43064103 0.42758544 52.60106
## 1643 0.43027579 0.42721823 53.34752
## 1870 0.42991739 0.42685791 54.07998
## 1665 0.42990910 0.42684957 54.09693
## 1664 0.42976054 0.42670022 54.40054
## 1882 0.42972967 0.42666919 54.46361
## 1653 0.42959812 0.42653693 54.73247
## 1886 0.42923202 0.42616886 55.48068
## 1875 0.42922935 0.42616618 55.48614
## 2112 0.42920694 0.42614365 55.53194
## 1607 0.42917726 0.42611381 55.59259
## 1873 0.42857784 0.42551117 56.81763
## 2062 0.42851204 0.42544502 56.95211
## 1885 0.42847397 0.42540675 57.02989
## 2115 0.42846502 0.42539775 57.04819
## 1646 0.42824779 0.42517935 57.49215
## 1668 0.42804043 0.42497088 57.91593
## 2053 0.42786160 0.42479109 58.28141
## 2133 0.42775149 0.42468039 58.50644
## 2065 0.42772126 0.42464999 58.56823
## 1667 0.42760606 0.42453417 58.80366
## 1649 0.42754727 0.42447508 58.92380
## 1656 0.42752854 0.42445624 58.96208
## 2067 0.42749240 0.42441990 59.03595
## 1610 0.42708767 0.42401301 59.86308
## 2136 0.42693705 0.42386158 60.17091
## 1639 0.42672364 0.42364703 60.60705
## 1844 0.42666419 0.42358725 60.72856
## 1669 0.42639533 0.42331695 61.27803
## 2131 0.42618738 0.42310788 61.70302
## 2117 0.42605044 0.42297021 61.98289
## 1613 0.42594182 0.42286101 62.20486
## 1847 0.42593183 0.42285097 62.22528
## 1899 0.42579294 0.42271133 62.50913
## 1658 0.42552538 0.42244234 63.05594
## 2108 0.42539408 0.42231033 63.32429
## 1902 0.42538890 0.42230512 63.33488
## 1603 0.42527196 0.42218755 63.57386
## 2308 0.42506373 0.42197821 63.99942
## 2118 0.42505060 0.42196501 64.02625
## 1835 0.42493041 0.42184417 64.27188
## 1846 0.42475530 0.42166812 64.62975
## 1825 0.42474332 0.42165607 64.65425
## 1918 0.42469806 0.42161057 64.74674
## 2329 0.42466057 0.42157288 64.82337
## 2058 0.42430292 0.42121331 65.55429
## 1890 0.42413675 0.42104625 65.89389
## 1598 0.42407900 0.42098819 66.01192
## 1612 0.42397017 0.42087877 66.23435
## 2068 0.42383086 0.42073872 66.51905
## 2311 0.42377056 0.42067809 66.64228
## 1920 0.42369145 0.42059856 66.80396
## 1648 0.42368695 0.42059404 66.81315
## 2327 0.42363924 0.42054607 66.91066
## 1659 0.42353321 0.42043947 67.12736
## 1919 0.42348382 0.42038982 67.22829
## 2127 0.42337351 0.42027891 67.45373
## 1850 0.42331795 0.42022305 67.56728
## 2332 0.42321915 0.42012373 67.76919
## 2138 0.42308765 0.41999152 68.03795
## 2122 0.42288980 0.41979261 68.44228
## 1905 0.42288663 0.41978942 68.44878
## 1909 0.42254085 0.41944178 69.15545
## 1876 0.42240852 0.41930875 69.42588
## 1911 0.42237891 0.41927898 69.48640
## 2134 0.42236420 0.41926419 69.51646
## 2125 0.42225246 0.41915185 69.74482
## 1901 0.42208344 0.41898192 70.09026
## 1838 0.42207759 0.41897604 70.10221
## 1828 0.42207618 0.41897462 70.10510
## 1831 0.42199534 0.41889334 70.27031
## 1849 0.42189874 0.41879622 70.46774
## 2137 0.42183413 0.41873128 70.59976
## 2382 0.42142882 0.41832378 71.42811
## 1893 0.42141208 0.41830696 71.46232
## 1851 0.42139873 0.41829354 71.48959
## 2313 0.42125102 0.41814504 71.79147
## 1921 0.42102187 0.41791466 72.25978
## 2314 0.42049771 0.41738768 73.33101
## 2304 0.42048162 0.41737150 73.36390
## 1821 0.42040742 0.41729691 73.51554
## 2318 0.42034031 0.41722944 73.65269
## 2330 0.42015055 0.41703865 74.04052
## 2384 0.41978380 0.41666994 74.79003
## 1840 0.41974976 0.41663571 74.85961
## 2334 0.41958588 0.41647096 75.19453
## 2323 0.41952632 0.41641107 75.31626
## 1914 0.41949681 0.41638141 75.37656
## 1904 0.41942851 0.41631274 75.51615
## 2321 0.41896907 0.41585083 76.45511
## 1906 0.41895201 0.41583369 76.48996
## 2333 0.41888139 0.41576268 76.63430
## 2401 0.41884791 0.41572903 76.70271
## 1912 0.41871378 0.41559418 76.97683
## 2387 0.41855750 0.41543706 77.29623
## 1841 0.41850959 0.41538889 77.39415
## 2385 0.41834541 0.41522383 77.72967
## 2373 0.41831222 0.41519046 77.79752
## 1896 0.41830611 0.41518432 77.81000
## 2154 0.41819833 0.41507596 78.03027
## 2128 0.41737063 0.41424382 79.72184
## 2142 0.41733235 0.41420533 79.80007
## 1830 0.41728169 0.41415440 79.90361
## 2388 0.41716708 0.41403917 80.13784
## 1895 0.41714340 0.41401536 80.18624
## 2376 0.41705240 0.41392388 80.37221
## 2099 0.41689893 0.41376959 80.68586
## 2151 0.41684572 0.41371609 80.79460
## 2157 0.41648663 0.41335507 81.52847
## 1737 0.41637561 0.41324346 81.75537
## 1915 0.41628212 0.41314946 81.94644
## 2087 0.41623766 0.41310477 82.03730
## 2096 0.41595552 0.41282112 82.61390
## 1916 0.41587168 0.41273683 82.78525
## 2172 0.41584724 0.41271225 82.83521
## 2077 0.41547496 0.41233797 83.59603
## 2145 0.41541682 0.41227952 83.71486
## 2083 0.41523840 0.41210015 84.07948
## 2403 0.41519999 0.41206153 84.15798
## 2394 0.41511223 0.41197329 84.33735
## 2171 0.41510999 0.41197105 84.34191
## 2102 0.41509925 0.41196025 84.36386
## 2170 0.41507207 0.41193292 84.41941
## 2389 0.41503686 0.41189752 84.49138
## 1758 0.41495114 0.41181135 84.66655
## 2163 0.41492643 0.41178650 84.71707
## 2378 0.41481926 0.41167876 84.93608
## 2098 0.41479064 0.41164998 84.99458
## 2161 0.41457249 0.41143066 85.44041
## 2090 0.41421747 0.41107373 86.16597
## 2324 0.41421113 0.41106736 86.17893
## 2173 0.41405124 0.41090662 86.50569
## 2073 0.41402344 0.41087867 86.56250
## 2103 0.41398287 0.41083788 86.64542
## 2404 0.41393346 0.41078821 86.74639
## 2350 0.41383250 0.41068670 86.95273
## 2397 0.41377619 0.41063009 87.06781
## 2153 0.41369264 0.41054609 87.23855
## 2080 0.41361429 0.41046732 87.39869
## 2148 0.41354520 0.41039785 87.53990
## 2158 0.41323822 0.41008923 88.16726
## 2166 0.41293542 0.40978480 88.78610
## 2101 0.41278706 0.40963565 89.08930
## 2379 0.41276446 0.40961293 89.13548
## 2092 0.41270133 0.40954946 89.26451
## 2368 0.41250338 0.40935044 89.66907
## 2367 0.41227342 0.40911925 90.13902
## 2338 0.41214767 0.40899282 90.39603
## 2164 0.41203284 0.40887738 90.63070
## 2156 0.41189993 0.40874376 90.90234
## 2147 0.41188528 0.40872903 90.93227
## 2093 0.41181605 0.40865943 91.07376
## 1753 0.41173356 0.40857650 91.24233
## 2347 0.41160208 0.40844431 91.51105
## 2392 0.41145471 0.40829615 91.81223
## 2353 0.41144082 0.40828219 91.84061
## 1687 0.41141413 0.40825535 91.89516
## 2402 0.41139531 0.40823643 91.93362
## 2357 0.41091110 0.40774962 92.92321
## 2417 0.41077742 0.40761523 93.19640
## 2359 0.41074158 0.40757919 93.26966
## 2366 0.41072038 0.40755788 93.31297
## 2168 0.41060625 0.40744313 93.54623
## 2004 0.41047091 0.40730707 93.82282
## 2167 0.41046520 0.40730133 93.83449
## 1933 0.41019476 0.40702944 94.38718
## 2369 0.40993697 0.40677026 94.91404
## 1954 0.40968658 0.40651853 95.42576
## 2082 0.40950645 0.40633744 95.79389
## 2341 0.40950642 0.40633740 95.79396
## 2407 0.40907415 0.40590282 96.67738
## 2360 0.40905905 0.40588764 96.70824
## 2399 0.40895804 0.40578608 96.91467
## 2418 0.40837554 0.40520045 98.10514
## 2349 0.40831375 0.40513833 98.23142
## 2009 0.40828540 0.40510983 98.28936
## 2344 0.40814539 0.40496907 98.57550
## 2023 0.40811872 0.40494226 98.63000
## 2354 0.40805781 0.40488102 98.75448
## 1747 0.40802096 0.40484397 98.82979
## 2362 0.40793211 0.40475464 99.01139
## 2410 0.40771182 0.40453317 99.46159
## 1949 0.40744662 0.40426655 100.00358
## 2425 0.40715627 0.40397464 100.59696
## 1734 0.40687918 0.40369606 101.16326
## 2363 0.40661740 0.40343288 101.69826
## 1759 0.40653762 0.40335267 101.86130
## 2395 0.40653136 0.40334637 101.87410
## 2416 0.40650597 0.40332085 101.92598
## 2409 0.40636265 0.40317676 102.21889
## 1998 0.40631683 0.40313069 102.31253
## 1773 0.40625790 0.40307145 102.43297
## 2364 0.40622674 0.40304012 102.49665
## 2419 0.40606399 0.40287649 102.82927
## 2352 0.40581101 0.40262216 103.34628
## 2343 0.40576917 0.40258010 103.43179
## 1767 0.40566252 0.40247288 103.64975
## 2398 0.40561840 0.40242851 103.73992
## 2010 0.40548983 0.40229925 104.00268
## 2413 0.40542786 0.40223695 104.12932
## 2421 0.40536979 0.40217857 104.24800
## 1779 0.40517454 0.40198227 104.64704
## 1755 0.40502351 0.40183043 104.95571
## 1792 0.40462523 0.40143001 105.76967
## 1739 0.40433309 0.40113631 106.36672
## 2412 0.40382453 0.40062502 107.40605
## 1730 0.40360440 0.40040371 107.85593
## 2423 0.40346716 0.40026573 108.13642
## 1675 0.40317335 0.39997035 108.73687
## 1788 0.40308457 0.39988108 108.91833
## 2019 0.40300034 0.39979641 109.09046
## 1943 0.40297190 0.39976782 109.14857
## 2256 0.40275825 0.39955301 109.58522
## 1783 0.40271383 0.39950836 109.67599
## 1795 0.40267295 0.39946726 109.75954
## 2185 0.40245838 0.39925154 110.19807
## 1689 0.40245189 0.39924501 110.21133
## 2026 0.40229507 0.39908735 110.53183
## 2414 0.40229482 0.39908710 110.53233
## 1740 0.40188139 0.39867145 111.37726
## 1955 0.40180001 0.39858964 111.54357
## 1778 0.40169569 0.39848476 111.75677
## 2261 0.40167834 0.39846731 111.79223
## 1615 0.40165280 0.39844164 111.84443
## 1793 0.40149107 0.39827904 112.17496
## 1718 0.40133993 0.39812709 112.48384
## 2250 0.40116740 0.39795363 112.83644
## 1702 0.40107267 0.39785840 113.03003
## 2424 0.40105708 0.39784272 113.06190
## 2206 0.40100726 0.39779263 113.16372
## 1749 0.40075779 0.39754182 113.67356
## 2422 0.40074497 0.39752893 113.69976
## 1930 0.40068218 0.39746581 113.82809
## 2039 0.40066778 0.39745132 113.85753
## 2029 0.40060810 0.39739133 113.97949
## 1712 0.40049626 0.39727888 114.20806
## 1723 0.40020272 0.39698377 114.80797
## 1951 0.39998867 0.39676857 115.24543
## 1684 0.39997463 0.39675445 115.27412
## 2262 0.39980410 0.39658301 115.62263
## 1626 0.39968966 0.39646796 115.85650
## 1969 0.39967102 0.39644921 115.89461
## 1724 0.39959608 0.39637387 116.04776
## 2275 0.39952429 0.39630171 116.19446
## 1760 0.39918124 0.39595681 116.89557
## 2006 0.39905830 0.39583321 117.14682
## 1988 0.39884136 0.39561510 117.59019
## 1975 0.39874705 0.39552029 117.78293
## 1963 0.39843553 0.39520710 118.41957
## 1764 0.39787889 0.39464747 119.55719
## 2038 0.39786486 0.39463337 119.58585
## 2014 0.39783176 0.39460009 119.65350
## 2438 0.39755645 0.39432330 120.21616
## 1935 0.39754524 0.39431203 120.23907
## 1979 0.39744765 0.39421391 120.43851
## 2201 0.39729554 0.39406099 120.74938
## 1789 0.39716223 0.39392696 121.02183
## 1995 0.39715597 0.39392067 121.03461
## 2047 0.39713739 0.39390199 121.07259
## 2271 0.39712199 0.39388651 121.10405
## 1991 0.39706835 0.39383258 121.21370
## 1989 0.39698739 0.39375118 121.37915
## 2043 0.39697079 0.39373450 121.41306
## 1776 0.39677363 0.39353628 121.81601
## 2024 0.39667411 0.39343622 122.01941
## 1984 0.39665443 0.39341644 122.05962
## 1625 0.39660054 0.39336226 122.16976
## 1744 0.39658016 0.39334177 122.21140
## 1926 0.39657694 0.39333853 122.21799
## 1588 0.39657679 0.39333838 122.21829
## 2041 0.39646872 0.39322973 122.43916
## 1680 0.39624666 0.39300648 122.89298
## 1616 0.39614302 0.39290229 123.10478
## 2443 0.39593545 0.39269360 123.52900
## 2457 0.39588738 0.39264527 123.62724
## 2278 0.39586896 0.39262675 123.66489
## 2007 0.39584782 0.39260550 123.70808
## 2034 0.39578268 0.39254001 123.84121
## 2035 0.39556989 0.39232608 124.27609
## 2195 0.39543182 0.39218727 124.55827
## 2432 0.39527585 0.39203046 124.87702
## 1936 0.39525183 0.39200632 124.92611
## 1945 0.39487861 0.39163109 125.68886
## 1785 0.39469999 0.39145151 126.05391
## 1756 0.39437443 0.39112420 126.71927
## 1974 0.39436569 0.39111541 126.73713
## 2444 0.39434000 0.39108959 126.78963
## 2000 0.39422011 0.39096906 127.03465
## 1690 0.39409964 0.39084794 127.28084
## 2281 0.39391343 0.39066072 127.66142
## 1629 0.39370422 0.39045039 128.08898
## 2207 0.39369989 0.39044605 128.09781
## 1794 0.39368828 0.39043437 128.12155
## 1956 0.39368686 0.39043295 128.12444
## 2291 0.39335828 0.39010260 128.79596
## 2011 0.39327906 0.39002295 128.95788
## 2016 0.39301943 0.38976193 129.48847
## 1775 0.39298230 0.38972460 129.56436
## 2182 0.39298011 0.38972240 129.56884
## 2493 0.39296751 0.38970974 129.59458
## 2453 0.39277650 0.38951770 129.98496
## 2258 0.39257437 0.38931448 130.39806
## 1769 0.39255542 0.38929543 130.43677
## 1770 0.39252122 0.38926105 130.50667
## 2247 0.39240008 0.38913926 130.75425
## 1797 0.39225855 0.38899697 131.04350
## 1695 0.39218555 0.38892357 131.19269
## 1780 0.39210734 0.38884494 131.35253
## 1940 0.39196424 0.38870108 131.64497
## 2460 0.39194280 0.38867952 131.68879
## 1699 0.39188423 0.38862064 131.80849
## 2025 0.39186370 0.38860000 131.85045
## 2215 0.39185398 0.38859023 131.87031
## 1808 0.39176210 0.38849785 132.05810
## 2227 0.39159980 0.38833468 132.38979
## 2178 0.39156551 0.38830021 132.45985
## 1985 0.39156246 0.38829714 132.46610
## 1705 0.39141404 0.38814792 132.76943
## 1586 0.39133372 0.38806718 132.93356
## 2484 0.39132427 0.38805767 132.95289
## 2203 0.39119780 0.38793053 133.21135
## 2266 0.39118421 0.38791686 133.23913
## 2187 0.39110898 0.38784123 133.39287
## 1617 0.39109850 0.38783069 133.41429
## 2046 0.39107371 0.38780577 133.46495
## 1709 0.39091722 0.38764844 133.78477
## 2287 0.39089257 0.38762365 133.83516
## 1720 0.39080433 0.38753494 134.01549
## 1960 0.39078929 0.38751982 134.04623
## 2020 0.39068261 0.38741257 134.26425
## 2252 0.39064230 0.38737204 134.34663
## 1590 0.39058626 0.38731570 134.46116
## 1589 0.39053173 0.38726088 134.57260
## 1972 0.39051507 0.38724413 134.60666
## 2259 0.39047335 0.38720219 134.69191
## 1857 0.39046134 0.38719011 134.71646
## 2293 0.39045662 0.38718537 134.72611
## 2494 0.39043247 0.38716109 134.77545
## 2286 0.39042547 0.38715405 134.78977
## 1952 0.39014150 0.38686855 135.37013
## 2489 0.39007504 0.38680174 135.50595
## 1714 0.39005401 0.38678059 135.54893
## 2001 0.38998170 0.38670790 135.69669
## 2221 0.38987885 0.38660450 135.90689
## 2188 0.38969284 0.38641749 136.28704
## 2496 0.38950733 0.38623098 136.66618
## 2295 0.38942586 0.38614908 136.83266
## 1725 0.38939379 0.38611683 136.89822
## 2276 0.38935891 0.38608177 136.96949
## 1721 0.38922764 0.38594979 137.23778
## 1750 0.38916347 0.38588528 137.36891
## 1807 0.38912313 0.38584472 137.45137
## 2236 0.38911892 0.38584049 137.45997
## 2263 0.38910058 0.38582205 137.49746
## 2290 0.38906087 0.38578213 137.57859
## 2243 0.38895415 0.38567483 137.79672
## 2299 0.38894040 0.38566101 137.82482
## 2197 0.38887055 0.38559078 137.96756
## 1981 0.38864998 0.38536903 138.41834
## 1990 0.38850442 0.38522269 138.71583
## 1790 0.38850310 0.38522137 138.71851
## 2040 0.38843201 0.38514989 138.86381
## 2448 0.38841440 0.38513219 138.89979
## 2231 0.38834314 0.38506054 139.04544
## 2031 0.38822748 0.38494427 139.28180
## 2044 0.38812916 0.38484542 139.48274
## 1620 0.38811048 0.38482664 139.52091
## 2473 0.38809286 0.38480892 139.55693
## 1614 0.38802790 0.38474362 139.68968
## 2240 0.38798997 0.38470548 139.76721
## 2463 0.38776754 0.38448186 140.22178
## 2268 0.38749948 0.38421235 140.76963
## 2032 0.38745427 0.38416690 140.86202
## 2241 0.38726294 0.38397455 141.25305
## 2253 0.38723814 0.38394961 141.30373
## 1858 0.38713508 0.38384600 141.51435
## 2208 0.38712201 0.38383287 141.54105
## 2458 0.38703016 0.38374052 141.72878
## 2440 0.38691973 0.38362949 141.95446
## 1618 0.38665203 0.38336036 142.50155
## 1877 0.38665054 0.38335886 142.50461
## 2429 0.38662400 0.38333217 142.55885
## 1786 0.38658757 0.38329556 142.63329
## 1627 0.38658621 0.38329419 142.63607
## 2490 0.38647604 0.38318342 142.86124
## 2272 0.38613985 0.38284543 143.54831
## 1704 0.38607767 0.38278291 143.67539
## 2226 0.38596078 0.38266540 143.91426
## 2298 0.38574799 0.38245147 144.34914
## 1971 0.38572693 0.38243029 144.39219
## 2277 0.38569574 0.38239894 144.45593
## 2498 0.38526782 0.38196872 145.33047
## 1640 0.38525663 0.38195747 145.35334
## 2441 0.38517623 0.38187664 145.51765
## 2481 0.38517331 0.38187371 145.52362
## 1966 0.38508246 0.38178237 145.70929
## 1976 0.38507429 0.38177415 145.72600
## 1798 0.38504157 0.38174126 145.79286
## 2021 0.38489294 0.38159182 146.09663
## 2477 0.38473512 0.38143316 146.41916
## 2192 0.38462489 0.38132234 146.64443
## 2469 0.38460537 0.38130271 146.68433
## 1965 0.38455903 0.38125613 146.77903
## 2237 0.38451857 0.38121545 146.86171
## 2502 0.38449831 0.38119508 146.90312
## 1715 0.38448898 0.38118570 146.92219
## 2475 0.38447872 0.38117538 146.94317
## 1622 0.38444344 0.38113992 147.01526
## 2212 0.38422466 0.38091996 147.46239
## 2434 0.38418260 0.38087768 147.54834
## 1811 0.38396357 0.38065748 147.99597
## 1946 0.38373749 0.38043017 148.45802
## 2450 0.38360426 0.38029623 148.73030
## 2468 0.38346094 0.38015215 149.02320
## 2224 0.38333315 0.38002366 149.28438
## 1632 0.38326224 0.37995238 149.42929
## 2508 0.38317018 0.37985983 149.61742
## 2445 0.38315282 0.37984237 149.65290
## 2284 0.38303032 0.37971921 149.90326
## 2283 0.38297541 0.37966401 150.01549
## 2454 0.38276411 0.37945158 150.44731
## 2472 0.38266745 0.37935439 150.64487
## 1660 0.38266323 0.37935015 150.65349
## 1635 0.38261779 0.37930447 150.74635
## 2292 0.38245905 0.37914488 151.07077
## 1852 0.38242930 0.37911496 151.13158
## 2504 0.38234366 0.37902887 151.30659
## 2036 0.38233487 0.37902003 151.32455
## 2459 0.38228223 0.37896711 151.43214
## 2505 0.38226024 0.37894500 151.47709
## 2204 0.38214683 0.37883099 151.70885
## 1986 0.38210471 0.37878864 151.79493
## 2045 0.38205572 0.37873938 151.89506
## 1621 0.38190973 0.37859261 152.19342
## 1642 0.38183320 0.37851567 152.34982
## 2296 0.38180040 0.37848269 152.41685
## 2273 0.38163192 0.37831330 152.76118
## 1982 0.38157404 0.37825512 152.87947
## 1859 0.38146650 0.37814700 153.09925
## 2486 0.38137197 0.37805196 153.29245
## 1587 0.38102421 0.37770234 154.00316
## 2233 0.38100141 0.37767941 154.04976
## 2480 0.38091893 0.37759649 154.21831
## 2435 0.38085839 0.37753563 154.34204
## 2218 0.38060959 0.37728549 154.85052
## 1630 0.38059736 0.37727320 154.87550
## 2495 0.38039894 0.37707371 155.28102
## 2242 0.38021518 0.37688897 155.65657
## 1802 0.38021011 0.37688386 155.66694
## 1604 0.37986978 0.37654171 156.36247
## 1861 0.37968209 0.37635302 156.74604
## 1799 0.37965797 0.37632876 156.79535
## 2501 0.37965374 0.37632452 156.80398
## 2217 0.37951474 0.37618476 157.08807
## 1594 0.37947092 0.37614071 157.17761
## 1591 0.37937500 0.37604427 157.37366
## 2288 0.37934987 0.37601901 157.42500
## 2228 0.37934884 0.37601797 157.42713
## 1641 0.37921341 0.37588182 157.70389
## 2507 0.37912458 0.37579251 157.88544
## 1809 0.37891052 0.37557730 158.32292
## 1651 0.37870996 0.37537567 158.73280
## 2478 0.37864575 0.37531111 158.86403
## 2198 0.37848159 0.37514607 159.19952
## 1605 0.37837572 0.37503963 159.41589
## 1731 0.37823790 0.37490108 159.69754
## 1663 0.37803452 0.37469660 160.11320
## 1650 0.37753953 0.37419895 161.12481
## 2017 0.37745472 0.37411369 161.29813
## 1868 0.37724007 0.37389789 161.73681
## 2223 0.37712383 0.37378102 161.97438
## 2455 0.37710053 0.37375760 162.02200
## 2487 0.37704828 0.37370507 162.12877
## 2466 0.37701361 0.37367021 162.19964
## 2297 0.37694687 0.37360311 162.33604
## 2474 0.37676691 0.37342218 162.70383
## 2238 0.37668295 0.37333778 162.87540
## 1880 0.37645721 0.37311083 163.33675
## 1599 0.37632035 0.37297323 163.61645
## 1661 0.37628225 0.37293493 163.69431
## 2465 0.37626635 0.37291894 163.72681
## 1796 0.37594390 0.37259476 164.38580
## 2491 0.37552450 0.37217311 165.24294
## 1606 0.37504624 0.37169229 166.22035
## 2509 0.37497086 0.37161650 166.37442
## 1800 0.37488502 0.37153020 166.54984
## 1853 0.37474170 0.37138611 166.84274
## 2234 0.37460551 0.37124919 167.12108
## 1751 0.37444228 0.37108509 167.45466
## 1862 0.37395090 0.37059107 168.45890
## 1636 0.37387780 0.37051758 168.60830
## 1804 0.37387557 0.37051533 168.61287
## 1822 0.37383602 0.37047557 168.69369
## 2269 0.37378417 0.37042344 168.79966
## 1645 0.37343406 0.37007145 169.51517
## 1814 0.37297755 0.36961249 170.44814
## 2479 0.37273279 0.36936642 170.94836
## 2470 0.37246828 0.36910049 171.48894
## 1842 0.37242327 0.36905524 171.58093
## 1803 0.37185312 0.36848203 172.74615
## 2506 0.37144570 0.36807242 173.57880
## 2451 0.37118665 0.36781198 174.10822
## 1735 0.37117899 0.36780428 174.12386
## 1824 0.37116759 0.36779281 174.14718
## 1817 0.37090641 0.36753024 174.68094
## 2049 0.37086767 0.36749129 174.76011
## 1812 0.37075514 0.36737815 174.99009
## 1595 0.37066671 0.36728925 175.17082
## 1898 0.37043827 0.36705958 175.63769
## 1644 0.37042991 0.36705118 175.65476
## 1887 0.37009945 0.36671894 176.33014
## 2499 0.36982672 0.36644475 176.88752
## 1672 0.36974007 0.36635764 177.06459
## 2109 0.36973939 0.36635695 177.06599
## 1854 0.36965937 0.36627651 177.22952
## 1867 0.36947739 0.36609355 177.60144
## 1654 0.36926847 0.36588350 178.02841
## 1623 0.36912632 0.36574059 178.31892
## 1608 0.36895095 0.36556429 178.67731
## 1864 0.36894351 0.36555680 178.69253
## 1666 0.36892168 0.36553486 178.73714
## 2500 0.36891951 0.36553267 178.74158
## 1897 0.36878361 0.36539605 179.01931
## 1845 0.36874532 0.36535755 179.09758
## 1871 0.36872107 0.36533317 179.14713
## 1878 0.36849465 0.36510554 179.60986
## 1833 0.36833013 0.36494013 179.94610
## 2060 0.36811762 0.36472648 180.38040
## 1883 0.36809671 0.36470545 180.42314
## 1652 0.36807027 0.36467888 180.47716
## 1727 0.36783471 0.36444205 180.95860
## 1685 0.36773674 0.36434356 181.15880
## 1832 0.36767510 0.36428158 181.28479
## 1927 0.36756110 0.36416697 181.51777
## 1843 0.36743141 0.36403658 181.78282
## 1823 0.36738659 0.36399153 181.87441
## 2110 0.36726436 0.36386864 182.12422
## 1593 0.36722772 0.36383180 182.19910
## 1597 0.36681747 0.36341935 183.03753
## 1600 0.36671688 0.36331822 183.24310
## 1681 0.36668032 0.36328147 183.31782
## 1637 0.36628661 0.36288564 184.12244
## 1647 0.36619393 0.36279246 184.31186
## 1609 0.36579559 0.36239199 185.12594
## 1947 0.36562948 0.36222499 185.46543
## 1638 0.36537840 0.36197256 185.97856
## 1900 0.36533131 0.36192522 186.07479
## 1736 0.36519331 0.36178648 186.35682
## 2050 0.36459893 0.36118891 187.57156
## 1888 0.36457248 0.36116232 187.62562
## 1917 0.36435028 0.36093893 188.07972
## 2104 0.36431519 0.36090364 188.15145
## 1601 0.36429530 0.36088365 188.19209
## 1611 0.36402380 0.36061069 188.74696
## 2002 0.36399010 0.36057680 188.81584
## 1907 0.36387071 0.36045678 189.05982
## 1732 0.36357689 0.36016138 189.66032
## 2129 0.36326823 0.35985106 190.29113
## 1761 0.36312563 0.35970770 190.58256
## 2059 0.36298555 0.35956687 190.86883
## 1855 0.36279344 0.35937373 191.26144
## 1889 0.36244962 0.35902806 191.96412
## 2111 0.36238700 0.35896510 192.09210
## 1745 0.36204643 0.35862271 192.78811
## 1596 0.36196744 0.35854329 192.94955
## 1671 0.36135539 0.35792796 194.20040
## 2063 0.36123063 0.35780253 194.45537
## 2113 0.36101061 0.35758133 194.90503
## 1772 0.36054951 0.35711775 195.84739
## 1827 0.36049309 0.35706103 195.96268
## 1726 0.36042379 0.35699136 196.10431
## 2051 0.36019824 0.35676459 196.56528
## 2305 0.35993052 0.35649544 197.11242
## 1818 0.35974173 0.35630564 197.49824
## 1757 0.35967163 0.35623517 197.64150
## 1657 0.35944335 0.35600566 198.10804
## 1682 0.35915757 0.35571834 198.69209
## 1771 0.35900058 0.35556051 199.01293
## 1931 0.35881547 0.35537441 199.39124
## 1655 0.35876056 0.35531921 199.50345
## 1992 0.35854891 0.35510642 199.93601
## 1834 0.35851281 0.35507012 200.00980
## 1805 0.35819501 0.35475062 200.65927
## 2048 0.35807835 0.35463333 200.89769
## 2105 0.35783126 0.35438492 201.40267
## 1741 0.35772294 0.35427602 201.62404
## 1696 0.35766185 0.35421460 201.74890
## 2306 0.35738632 0.35393759 202.31200
## 1848 0.35718039 0.35373056 202.73286
## 1781 0.35704646 0.35359590 203.00658
## 1733 0.35677028 0.35331824 203.57101
## 2003 0.35635367 0.35289940 204.42243
## 2120 0.35631414 0.35285965 204.50322
## 2054 0.35631166 0.35285716 204.50829
## 1836 0.35627964 0.35282497 204.57373
## 2325 0.35626496 0.35281022 204.60372
## 1826 0.35620472 0.35274965 204.72684
## 1602 0.35619320 0.35273807 204.75038
## 1869 0.35613914 0.35268372 204.86086
## 2114 0.35610598 0.35265038 204.92863
## 2052 0.35610373 0.35264812 204.93323
## 1716 0.35523466 0.35177438 206.70937
## 1874 0.35518873 0.35172820 206.80323
## 1923 0.35471736 0.35125430 207.76657
## 1910 0.35470577 0.35124265 207.79025
## 1791 0.35457469 0.35111087 208.05815
## 2132 0.35455943 0.35109553 208.08933
## 1752 0.35450363 0.35103942 208.20337
## 1903 0.35433644 0.35087134 208.54506
## 1677 0.35429213 0.35082679 208.63562
## 2300 0.35398979 0.35052283 209.25350
## 2061 0.35390789 0.35044049 209.42089
## 2106 0.35388256 0.35041503 209.47264
## 1742 0.35377101 0.35030288 209.70062
## 2056 0.35347213 0.35000239 210.31145
## 1891 0.35309079 0.34961901 211.09078
## 1829 0.35270163 0.34922776 211.88611
## 2307 0.35255406 0.34907939 212.18771
## 1932 0.35239103 0.34891549 212.52089
## 2116 0.35224456 0.34876823 212.82024
## 1673 0.35218911 0.34871248 212.93356
## 1928 0.35191561 0.34843752 213.49251
## 2066 0.35167035 0.34819095 213.99374
## 1819 0.35141102 0.34793022 214.52375
## 1892 0.35135093 0.34786981 214.64655
## 1728 0.35132109 0.34783981 214.70753
## 1820 0.35110004 0.34761757 215.15930
## 1686 0.35096852 0.34748535 215.42808
## 1941 0.35077533 0.34729112 215.82290
## 1765 0.35070735 0.34722278 215.96183
## 1706 0.35069886 0.34721424 215.97919
## 1957 0.35040538 0.34691918 216.57897
## 1754 0.35039424 0.34690798 216.60174
## 1692 0.35033123 0.34684464 216.73051
## 2012 0.35020265 0.34671536 216.99330
## 1996 0.34982100 0.34633167 217.77327
## 1670 0.34977785 0.34628829 217.86145
## 2069 0.34956557 0.34607487 218.29530
## 2139 0.34948140 0.34599024 218.46732
## 2123 0.34910648 0.34561331 219.23355
## 2316 0.34904667 0.34555318 219.35578
## 2309 0.34901881 0.34552517 219.41271
## 1937 0.34899427 0.34550050 219.46286
## 2055 0.34895580 0.34546182 219.54149
## 1777 0.34890191 0.34540764 219.65162
## 1968 0.34882138 0.34532668 219.81621
## 2076 0.34881192 0.34531717 219.83553
## 2150 0.34871798 0.34522273 220.02752
## 1953 0.34869069 0.34519529 220.08330
## 2074 0.34831018 0.34481274 220.86094
## 1908 0.34828038 0.34478278 220.92184
## 2022 0.34827238 0.34477474 220.93819
## 1738 0.34812752 0.34462910 221.23425
## 1922 0.34807385 0.34457514 221.34393
## 2008 0.34806748 0.34456874 221.35695
## 1701 0.34799082 0.34449166 221.51362
## 1766 0.34797514 0.34447590 221.54566
## 2380 0.34781958 0.34431951 221.86358
## 2328 0.34777598 0.34427567 221.95269
## 2107 0.34768300 0.34418219 222.14272
## 2135 0.34755036 0.34404884 222.41379
## 1872 0.34718829 0.34368483 223.15375
## 1717 0.34708364 0.34357962 223.36762
## 2064 0.34679304 0.34328745 223.96153
## 1762 0.34662867 0.34312220 224.29746
## 1839 0.34649830 0.34299113 224.56389
## 1837 0.34636183 0.34285393 224.84280
## 2119 0.34628458 0.34277626 225.00068
## 1967 0.34616986 0.34266094 225.23512
## 1948 0.34602193 0.34251220 225.53746
## 1977 0.34597328 0.34246330 225.63687
## 1674 0.34593209 0.34242189 225.72105
## 1710 0.34579886 0.34228794 225.99334
## 1691 0.34573549 0.34222423 226.12284
## 1678 0.34538953 0.34187642 226.82988
## 2027 0.34529190 0.34177826 227.02941
## 2301 0.34525801 0.34174419 227.09867
## 2179 0.34517930 0.34166506 227.25953
## 2140 0.34490308 0.34138735 227.82405
## 1929 0.34476467 0.34124820 228.10692
## 2149 0.34463206 0.34111488 228.37793
## 1987 0.34456317 0.34104562 228.51871
## 2152 0.34454874 0.34103112 228.54820
## 2037 0.34442768 0.34090941 228.79561
## 2094 0.34426425 0.34074510 229.12962
## 1700 0.34426167 0.34074250 229.13490
## 2085 0.34421158 0.34069214 229.23727
## 2130 0.34410624 0.34058624 229.45255
## 2310 0.34404037 0.34052002 229.58717
## 1894 0.34381281 0.34029123 230.05224
## 1774 0.34379053 0.34026883 230.09777
## 1676 0.34375777 0.34023590 230.16472
## 2141 0.34372638 0.34020434 230.22886
## 1938 0.34372533 0.34020328 230.23102
## 1722 0.34359583 0.34007308 230.49569
## 2097 0.34359464 0.34007189 230.49812
## 1993 0.34354823 0.34002523 230.59297
## 2254 0.34333665 0.33981252 231.02536
## 1729 0.34300003 0.33947409 231.71332
## 1763 0.34288273 0.33935616 231.95304
## 2075 0.34261259 0.33908458 232.50512
## 1913 0.34229059 0.33876084 233.16320
## 2370 0.34224914 0.33871917 233.24792
## 1698 0.34220655 0.33867635 233.33495
## 1688 0.34181990 0.33828763 234.12515
## 2084 0.34111944 0.33758341 235.55668
## 2381 0.34111661 0.33758056 235.56247
## 2302 0.34100549 0.33746885 235.78956
## 2005 0.34097972 0.33744294 235.84222
## 2028 0.34096124 0.33742436 235.88000
## 1707 0.34088983 0.33735256 236.02595
## 1997 0.34076411 0.33722617 236.28288
## 1950 0.34069236 0.33715404 236.42950
## 2371 0.34055601 0.33701695 236.70817
## 2315 0.34044866 0.33690903 236.92756
## 2244 0.34028920 0.33674871 237.25346
## 2199 0.34025445 0.33671378 237.32447
## 2159 0.34012760 0.33658624 237.58372
## 2312 0.33994569 0.33640336 237.95548
## 1782 0.33985280 0.33630997 238.14532
## 1746 0.33984628 0.33630341 238.15866
## 1787 0.33968583 0.33614210 238.48656
## 2095 0.33964756 0.33610363 238.56478
## 2383 0.33959681 0.33605261 238.66848
## 2070 0.33947802 0.33593318 238.91127
## 2169 0.33944311 0.33589808 238.98261
## 2319 0.33939857 0.33585331 239.07363
## 2079 0.33917294 0.33562646 239.53476
## 1683 0.33902358 0.33547630 239.84001
## 2326 0.33874701 0.33519824 240.40524
## 1697 0.33844570 0.33489532 241.02101
## 2183 0.33833531 0.33478434 241.24662
## 2331 0.33833353 0.33478255 241.25025
## 2346 0.33758367 0.33402866 242.78275
## 1719 0.33751002 0.33395462 242.93327
## 2126 0.33738261 0.33382652 243.19366
## 2335 0.33690702 0.33334838 244.16563
## 1924 0.33676135 0.33320193 244.46334
## 2255 0.33669778 0.33313802 244.59324
## 2057 0.33654402 0.33298343 244.90750
## 2175 0.33634338 0.33278171 245.31755
## 1961 0.33530913 0.33174192 247.43123
## 2155 0.33491816 0.33134885 248.23026
## 2143 0.33483807 0.33126833 248.39394
## 1973 0.33478340 0.33121337 248.50567
## 2121 0.33450823 0.33093671 249.06805
## 2303 0.33436869 0.33079643 249.35322
## 2144 0.33408687 0.33051310 249.92917
## 1748 0.33405002 0.33047605 250.00448
## 1934 0.33399936 0.33042511 250.10803
## 1784 0.33373150 0.33015582 250.65544
## 2248 0.33363973 0.33006356 250.84300
## 2086 0.33340651 0.32982909 251.31962
## 2348 0.33323012 0.32965175 251.68012
## 2088 0.33316878 0.32959008 251.80547
## 1994 0.33307267 0.32949345 252.00190
## 2100 0.33299616 0.32941653 252.15826
## 1962 0.33291785 0.32933781 252.31830
## 2162 0.33282546 0.32924492 252.50712
## 2072 0.33280619 0.32922554 252.54651
## 2184 0.33271738 0.32913626 252.72800
## 1958 0.33257478 0.32899290 253.01943
## 2081 0.33249104 0.32890870 253.19059
## 2078 0.33243085 0.32884819 253.31358
## 2071 0.33230042 0.32871706 253.58015
## 2372 0.33224955 0.32866591 253.68412
## 1711 0.33221287 0.32862904 253.75907
## 2436 0.33215399 0.32856985 253.87940
## 2336 0.33199983 0.32841485 254.19447
## 2337 0.33174460 0.32815825 254.71609
## 2345 0.33164288 0.32805599 254.92396
## 2374 0.33138366 0.32779538 255.45374
## 2365 0.33110222 0.32751243 256.02891
## 1970 0.33095600 0.32736542 256.32775
## 2180 0.33083674 0.32724553 256.57148
## 2386 0.33062261 0.32703024 257.00910
## 2260 0.33059000 0.32699746 257.07574
## 2355 0.33023700 0.32664256 257.79717
## 1693 0.33007627 0.32648097 258.12566
## 2042 0.32985072 0.32625422 258.58660
## 2018 0.32969126 0.32609389 258.91251
## 1978 0.32953177 0.32593355 259.23845
## 2174 0.32944545 0.32584677 259.41486
## 2193 0.32922325 0.32562338 259.86897
## 1959 0.32911625 0.32551580 260.08765
## 2390 0.32885605 0.32525421 260.61942
## 2317 0.32867484 0.32507202 260.98977
## 2209 0.32865137 0.32504843 261.03772
## 1768 0.32863193 0.32502888 261.07745
## 2426 0.32857800 0.32497466 261.18768
## 2264 0.32851434 0.32491066 261.31777
## 1942 0.32807247 0.32446642 262.22083
## 2400 0.32789478 0.32428778 262.58397
## 2146 0.32788397 0.32427690 262.60607
## 1694 0.32767827 0.32407010 263.02646
## 1703 0.32750421 0.32389511 263.38217
## 1925 0.32748574 0.32387654 263.41994
## 2124 0.32721105 0.32360038 263.98131
## 2322 0.32718610 0.32357529 264.03231
## 2245 0.32716316 0.32355223 264.07918
## 2033 0.32702544 0.32341377 264.36066
## 1743 0.32681417 0.32320136 264.79242
## 1983 0.32622500 0.32260903 265.99651
## 2205 0.32579157 0.32217328 266.88231
## 2220 0.32564328 0.32202419 267.18538
## 2437 0.32549407 0.32187419 267.49030
## 2249 0.32537595 0.32175542 267.73172
## 2279 0.32534220 0.32172149 267.80070
## 2091 0.32522789 0.32160658 268.03430
## 2274 0.32509064 0.32146858 268.31481
## 2181 0.32465009 0.32102567 269.21515
## 2415 0.32425167 0.32062511 270.02942
## 1708 0.32403962 0.32041192 270.46279
## 2160 0.32400814 0.32038028 270.52711
## 2358 0.32387870 0.32025014 270.79165
## 2030 0.32364107 0.32001123 271.27730
## 2189 0.32347840 0.31984769 271.60975
## 2257 0.32310766 0.31947496 272.36743
## 2375 0.32301626 0.31938307 272.55423
## 2289 0.32298024 0.31934686 272.62783
## 2405 0.32281405 0.31917978 272.96748
## 2089 0.32241799 0.31878159 273.77691
## 1999 0.32227617 0.31863901 274.06675
## 1679 0.32214039 0.31850251 274.34424
## 1980 0.32208067 0.31844246 274.46630
## 2280 0.32207030 0.31843204 274.48748
## 2165 0.32200968 0.31837109 274.61137
## 2190 0.32164043 0.31799986 275.36600
## 1944 0.32077740 0.31713219 277.12980
## 2351 0.32076531 0.31712004 277.15451
## 2229 0.32075014 0.31710479 277.18550
## 2015 0.32059355 0.31694737 277.50552
## 2446 0.32057619 0.31692991 277.54101
## 2406 0.32055879 0.31691242 277.57655
## 1713 0.32044800 0.31680103 277.80299
## 2219 0.32037550 0.31672814 277.95116
## 2176 0.32035221 0.31670473 277.99874
## 2430 0.31976631 0.31611568 279.19616
## 2377 0.31953493 0.31588306 279.66904
## 2340 0.31915247 0.31549855 280.45066
## 2013 0.31912107 0.31546698 280.51483
## 2339 0.31887374 0.31521832 281.02030
## 2200 0.31874802 0.31509193 281.27724
## 2320 0.31840435 0.31474642 281.97959
## 2239 0.31782003 0.31415895 283.17378
## 2456 0.31768948 0.31402770 283.44059
## 2246 0.31762828 0.31396618 283.56565
## 2442 0.31730090 0.31363704 284.23472
## 2202 0.31703142 0.31336611 284.78546
## 2408 0.31695040 0.31328466 284.95104
## 1939 0.31676165 0.31309490 285.33679
## 2393 0.31669468 0.31302757 285.47366
## 2356 0.31645960 0.31279123 285.95409
## 2482 0.31621637 0.31254669 286.45119
## 2186 0.31618829 0.31251846 286.50857
## 2213 0.31558544 0.31191237 287.74062
## 2427 0.31450612 0.31082726 289.94644
## 2214 0.31406193 0.31038068 290.85423
## 2492 0.31386764 0.31018536 291.25128
## 2225 0.31363219 0.30994864 291.73248
## 2342 0.31240715 0.30871703 294.23609
## 2210 0.31239756 0.30870739 294.25569
## 1964 0.31179917 0.30810578 295.47864
## 2177 0.31169292 0.30799896 295.69577
## 2461 0.31144879 0.30775353 296.19470
## 2439 0.31107366 0.30737638 296.96136
## 2270 0.31107237 0.30737508 296.96400
## 2431 0.31085061 0.30715213 297.41721
## 2471 0.31061733 0.30691760 297.89397
## 2285 0.31057057 0.30687059 297.98952
## 2211 0.30987825 0.30617456 299.40441
## 2361 0.30981531 0.30611128 299.53305
## 2251 0.30943252 0.30572644 300.31535
## 2222 0.30921274 0.30550547 300.76453
## 2462 0.30889065 0.30518166 301.42278
## 2294 0.30718769 0.30346956 304.90313
## 2282 0.30678412 0.30306382 305.72790
## 2396 0.30591072 0.30218573 307.51289
## 2483 0.30510936 0.30138008 309.15061
## 2194 0.30486292 0.30113231 309.65427
## 2428 0.30437313 0.30063989 310.65526
## 2235 0.30375881 0.30002228 311.91074
## 2411 0.30367051 0.29993350 312.09120
## 2420 0.30314370 0.29940387 313.16784
## 2230 0.30283608 0.29909459 313.79654
## 2267 0.30165955 0.29791175 316.20101
## 2196 0.30140137 0.29765219 316.72865
## 2452 0.30029582 0.29654070 318.98808
## 2232 0.29896116 0.29519888 321.71572
## 2476 0.29767796 0.29390879 324.33820
## 2488 0.29730842 0.29353727 325.09342
## 2265 0.29673738 0.29296316 326.26047
## 2391 0.29531664 0.29153479 329.16405
## 2503 0.29518380 0.29140125 329.43552
## 2216 0.29513514 0.29135232 329.53497
## 2467 0.29438848 0.29060165 331.06093
## 2433 0.29351797 0.28972647 332.84000
## 2449 0.29295368 0.28915916 333.99323
## 2191 0.29289156 0.28909670 334.12018
## 2464 0.29248693 0.28868991 334.94712
## 2485 0.29102453 0.28721966 337.93583
## 2447 0.29064247 0.28683554 338.71666
## 2497 0.28338095 0.27953505 353.55706
## 2593 0.44647642 0.44300760 22.23824
## 2574 0.44644188 0.44297285 22.30882
## 2595 0.44633288 0.44286316 22.53159
## 2524 0.44579711 0.44232404 23.62654
## 2577 0.44532531 0.44184928 24.59076
## 2598 0.44510812 0.44163073 25.03463
## 2527 0.44463705 0.44115671 25.99736
## 2529 0.44321479 0.43972553 28.90404
## 2789 0.44300029 0.43950969 29.34241
## 2515 0.44283552 0.43934389 29.67915
## 2791 0.44259231 0.43909915 30.17621
## 2584 0.44253341 0.43903989 30.29657
## 2579 0.44235586 0.43886123 30.65942
## 2770 0.44209836 0.43860211 31.18568
## 2596 0.44205346 0.43855693 31.27745
## 2844 0.44163025 0.43813106 32.14237
## 2587 0.44146353 0.43796330 32.48310
## 2570 0.44143704 0.43793664 32.53724
## 2599 0.44108272 0.43758010 33.26136
## 2580 0.44106744 0.43756473 33.29257
## 2863 0.44099919 0.43749605 33.43207
## 2589 0.44087279 0.43736886 33.69039
## 2794 0.44081981 0.43731555 33.79867
## 2600 0.44056324 0.43705737 34.32303
## 2773 0.44048399 0.43697762 34.48498
## 2520 0.44043679 0.43693013 34.58143
## 2530 0.43998549 0.43647600 35.50376
## 2846 0.43935203 0.43583857 36.79836
## 2780 0.43897326 0.43545743 37.57246
## 2792 0.43870367 0.43518614 38.12344
## 2835 0.43775923 0.43423579 40.05358
## 2849 0.43774400 0.43422046 40.08472
## 2847 0.43762548 0.43410120 40.32693
## 2775 0.43741162 0.43388600 40.76399
## 2783 0.43727562 0.43374915 41.04193
## 2795 0.43710010 0.43357253 41.40064
## 2856 0.43670700 0.43317696 42.20403
## 2865 0.43662337 0.43309281 42.37495
## 2785 0.43639031 0.43285829 42.85125
## 2766 0.43633559 0.43280322 42.96308
## 2796 0.43631304 0.43278053 43.00918
## 2776 0.43621557 0.43268246 43.20836
## 2590 0.43617190 0.43263851 43.29762
## 2838 0.43615169 0.43261818 43.33891
## 2850 0.43609638 0.43256251 43.45196
## 2613 0.43562475 0.43208793 44.41582
## 2854 0.43554285 0.43200552 44.58320
## 2864 0.43536920 0.43183078 44.93810
## 2633 0.43528968 0.43175076 45.10061
## 2632 0.43525299 0.43171385 45.17558
## 2616 0.43514465 0.43160483 45.39700
## 2623 0.43503400 0.43149348 45.62315
## 2859 0.43498423 0.43144340 45.72486
## 2866 0.43496740 0.43142646 45.75925
## 2558 0.43487446 0.43133294 45.94919
## 2604 0.43463976 0.43109677 46.42885
## 2634 0.43434230 0.43079745 47.03677
## 2561 0.43403913 0.43049238 47.65636
## 2625 0.43378806 0.43023973 48.16948
## 2549 0.43368090 0.43013190 48.38847
## 2980 0.43341864 0.42986800 48.92446
## 3054 0.43334615 0.42979506 49.07260
## 3001 0.43326665 0.42971506 49.23508
## 2851 0.43326278 0.42971116 49.24300
## 2840 0.43324780 0.42969608 49.27362
## 2619 0.43304774 0.42949477 49.68247
## 2999 0.43299779 0.42944451 49.78455
## 2560 0.43259645 0.42904065 50.60478
## 2539 0.43244558 0.42888884 50.91310
## 2983 0.43244360 0.42888684 50.91716
## 2607 0.43234744 0.42879008 51.11368
## 3004 0.43217242 0.42861397 51.47136
## 2635 0.43212712 0.42856839 51.56394
## 3073 0.43206066 0.42850151 51.69976
## 2615 0.43199504 0.42843548 51.83388
## 2786 0.43194381 0.42838393 51.93857
## 2564 0.43187001 0.42830966 52.08940
## 2626 0.43162173 0.42805982 52.59682
## 3056 0.43152504 0.42796253 52.79443
## 2829 0.43148351 0.42792074 52.87929
## 2628 0.43138684 0.42782346 53.07686
## 2552 0.43130461 0.42774072 53.24491
## 2841 0.43117790 0.42761321 53.50388
## 3045 0.43086411 0.42729745 54.14517
## 2879 0.43064308 0.42707504 54.59689
## 2819 0.43061000 0.42704176 54.66448
## 3059 0.43060353 0.42703524 54.67772
## 2812 0.43053901 0.42697032 54.80957
## 2828 0.43053775 0.42696905 54.81215
## 3057 0.43044651 0.42687725 54.99861
## 2809 0.43043397 0.42686463 55.02424
## 2830 0.43029866 0.42672846 55.30079
## 2990 0.43024417 0.42667363 55.41214
## 2857 0.43024345 0.42667290 55.41362
## 2542 0.43022996 0.42665934 55.44117
## 2563 0.43022698 0.42665634 55.44726
## 2985 0.42992920 0.42635669 56.05584
## 2545 0.42989397 0.42632124 56.12784
## 3048 0.42989072 0.42631797 56.13448
## 2618 0.42978715 0.42621375 56.34615
## 3002 0.42970141 0.42612747 56.52138
## 2976 0.42964138 0.42606707 56.64406
## 2861 0.42963417 0.42605981 56.65879
## 2629 0.42958655 0.42601189 56.75612
## 3060 0.42956695 0.42599217 56.79617
## 2565 0.42955544 0.42598059 56.81970
## 2869 0.42954589 0.42597098 56.83921
## 3194 0.42943559 0.42585999 57.06464
## 2800 0.42939209 0.42581621 57.15354
## 2610 0.42935448 0.42577836 57.23041
## 2986 0.42926919 0.42569254 57.40472
## 2887 0.42922715 0.42565024 57.49062
## 2620 0.42922209 0.42564514 57.50097
## 2993 0.42920470 0.42562765 57.53650
## 3066 0.42913672 0.42555925 57.67543
## 3213 0.42912954 0.42555202 57.69010
## 2821 0.42909248 0.42551472 57.76585
## 2535 0.42905459 0.42547660 57.84328
## 2995 0.42903687 0.42545876 57.87951
## 2860 0.42886761 0.42528845 58.22542
## 3075 0.42878190 0.42520220 58.40058
## 3005 0.42877049 0.42519072 58.42391
## 3006 0.42872135 0.42514127 58.52433
## 2554 0.42865758 0.42507710 58.65465
## 2609 0.42827795 0.42469509 59.43051
## 3069 0.42811362 0.42452973 59.76635
## 2883 0.42808042 0.42449633 59.83419
## 2630 0.42803861 0.42445425 59.91966
## 2878 0.42786084 0.42427537 60.28296
## 2555 0.42785575 0.42427024 60.29337
## 3076 0.42784407 0.42425849 60.31723
## 2815 0.42782940 0.42424373 60.34721
## 2822 0.42762740 0.42404046 60.76005
## 2880 0.42760490 0.42401782 60.80603
## 3050 0.42757682 0.42398957 60.86341
## 3196 0.42757050 0.42398320 60.87634
## 3064 0.42753692 0.42394942 60.94495
## 2831 0.42740890 0.42382059 61.20659
## 3061 0.42731792 0.42372905 61.39252
## 3074 0.42705922 0.42346872 61.92124
## 2872 0.42692822 0.42333690 62.18895
## 3185 0.42682328 0.42323130 62.40343
## 3197 0.42672381 0.42313121 62.60671
## 2811 0.42667238 0.42307946 62.71181
## 2803 0.42644752 0.42285319 63.17137
## 2871 0.42624562 0.42265003 63.58398
## 3206 0.42616264 0.42256652 63.75358
## 3215 0.42611170 0.42251526 63.85768
## 3199 0.42610371 0.42250723 63.87401
## 2824 0.42597557 0.42237828 64.13590
## 3051 0.42597226 0.42237495 64.14265
## 2544 0.42564804 0.42204870 64.80526
## 3188 0.42528271 0.42168108 65.55189
## 3200 0.42527655 0.42167488 65.56448
## 3204 0.42510720 0.42150447 65.91059
## 2885 0.42504376 0.42144063 66.04024
## 3214 0.42492406 0.42132018 66.28487
## 2881 0.42491286 0.42130891 66.30775
## 2825 0.42484030 0.42123590 66.45604
## 2996 0.42482932 0.42122485 66.47849
## 2884 0.42476464 0.42115976 66.61068
## 3216 0.42452911 0.42092276 67.09202
## 3209 0.42449597 0.42088941 67.15975
## 3249 0.42427484 0.42066690 67.61167
## 2875 0.42426870 0.42066071 67.62424
## 2816 0.42386998 0.42025949 68.43910
## 3071 0.42385667 0.42024610 68.46630
## 2814 0.42382769 0.42021694 68.52552
## 2806 0.42376383 0.42015268 68.65604
## 2874 0.42333827 0.41972446 69.52575
## 3067 0.42330413 0.41969010 69.59552
## 2826 0.42301546 0.41939962 70.18548
## 3201 0.42295310 0.41933687 70.31292
## 3190 0.42286709 0.41925032 70.48871
## 3250 0.42281710 0.41920002 70.59087
## 3240 0.42280296 0.41918579 70.61976
## 3089 0.42262625 0.41900797 70.98091
## 3070 0.42262252 0.41900422 70.98853
## 2886 0.42222735 0.41860657 71.79614
## 3022 0.42219914 0.41857818 71.85381
## 2805 0.42217344 0.41855233 71.90632
## 2718 0.42199665 0.41837442 72.26763
## 3079 0.42185528 0.41823217 72.55655
## 3039 0.42172850 0.41810460 72.81564
## 3191 0.42137286 0.41774673 73.54246
## 3010 0.42133658 0.41771022 73.61661
## 3251 0.42133379 0.41770741 73.62232
## 3040 0.42126369 0.41763687 73.76558
## 3242 0.42123229 0.41760527 73.82976
## 3029 0.42114335 0.41751578 74.01152
## 3207 0.42105476 0.41742663 74.19258
## 2737 0.42090666 0.41727761 74.49524
## 3097 0.42052859 0.41689717 75.26791
## 3019 0.42046339 0.41683156 75.40115
## 2876 0.42045802 0.41682615 75.41214
## 3082 0.42034939 0.41671685 75.63413
## 3031 0.42033572 0.41670309 75.66207
## 3211 0.42032038 0.41668766 75.69342
## 3025 0.42023385 0.41660058 75.87027
## 3090 0.42011944 0.41648545 76.10409
## 3258 0.41999276 0.41635798 76.36299
## 3252 0.41995903 0.41632404 76.43192
## 3254 0.41993018 0.41629501 76.49088
## 3038 0.41989944 0.41626408 76.55369
## 2723 0.41982479 0.41618896 76.70626
## 3245 0.41978607 0.41615000 76.78539
## 3093 0.41971036 0.41607381 76.94012
## 3210 0.41963114 0.41599409 77.10202
## 2647 0.41922217 0.41558256 77.93784
## 3032 0.41919800 0.41555824 77.98724
## 3041 0.41916439 0.41552442 78.05593
## 3013 0.41915893 0.41551893 78.06708
## 3243 0.41913589 0.41549574 78.11418
## 3081 0.41911573 0.41547546 78.15536
## 2668 0.41902313 0.41538227 78.34462
## 2712 0.41885824 0.41521635 78.68160
## 3088 0.41866020 0.41501707 79.08634
## 3229 0.41848200 0.41483775 79.45054
## 3085 0.41846414 0.41481978 79.48703
## 3091 0.41823205 0.41458623 79.96135
## 3034 0.41803163 0.41438456 80.37094
## 3246 0.41781975 0.41417135 80.80397
## 3095 0.41781600 0.41416758 80.81164
## 2724 0.41761144 0.41396173 81.22970
## 2663 0.41758787 0.41393802 81.27787
## 3016 0.41756714 0.41391715 81.32024
## 3237 0.41733334 0.41368189 81.79806
## 3021 0.41722976 0.41357767 82.00973
## 3035 0.41720650 0.41355426 82.05727
## 2733 0.41704770 0.41339446 82.38182
## 3094 0.41704200 0.41338873 82.39346
## 3084 0.41703362 0.41338030 82.41059
## 3219 0.41695961 0.41330582 82.56185
## 3026 0.41691576 0.41326169 82.65147
## 2900 0.41666156 0.41300591 83.17096
## 2919 0.41649980 0.41284313 83.50156
## 3036 0.41615906 0.41250025 84.19794
## 3222 0.41595423 0.41229414 84.61655
## 2740 0.41593113 0.41227089 84.66376
## 3230 0.41591347 0.41225313 84.69984
## 3096 0.41585519 0.41219448 84.81895
## 3256 0.41581773 0.41215678 84.89551
## 3233 0.41574469 0.41208329 85.04478
## 3247 0.41570943 0.41204781 85.11684
## 3015 0.41556656 0.41190404 85.40882
## 3086 0.41534216 0.41167823 85.86744
## 3024 0.41519817 0.41153334 86.16170
## 2955 0.41481657 0.41114935 86.94158
## 3235 0.41445832 0.41078886 87.67374
## 3257 0.41442935 0.41075971 87.73294
## 2728 0.41423187 0.41056098 88.13654
## 3234 0.41418886 0.41051771 88.22443
## 3221 0.41410629 0.41043462 88.39319
## 2657 0.41410595 0.41043428 88.39388
## 2905 0.41400140 0.41032907 88.60755
## 3228 0.41360001 0.40992517 89.42787
## 3225 0.41338200 0.40970579 89.87343
## 3231 0.41335345 0.40967706 89.93177
## 3264 0.41317215 0.40949463 90.30229
## 2946 0.41288872 0.40920942 90.88154
## 2743 0.41284527 0.40916570 90.97033
## 2894 0.41282158 0.40914186 91.01875
## 2738 0.41269489 0.40901438 91.27766
## 2669 0.41260300 0.40892191 91.46546
## 3261 0.41250630 0.40882461 91.66308
## 2753 0.41208362 0.40839928 92.52691
## 3255 0.41204257 0.40835797 92.61081
## 2956 0.41195717 0.40827203 92.78535
## 2915 0.41193428 0.40824900 92.83213
## 2906 0.41187517 0.40818952 92.95293
## 3236 0.41172029 0.40803367 93.26946
## 3260 0.41135336 0.40766444 94.01936
## 3224 0.41130424 0.40761501 94.11974
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## 3990 0.37883050 0.37381657 164.48646
## 3902 0.37668180 0.37165053 168.87775
## 3884 0.37488158 0.36983578 172.55688
## 3968 0.37369136 0.36863596 174.98932
## 4007 0.37038526 0.36530317 181.74601
## 3983 0.36757221 0.36246741 187.49506
## 3998 0.35922706 0.35405490 204.55008
## 4028 0.45484055 0.44994684 11.14443
## 4033 0.45457864 0.44968257 11.67970
## 4037 0.45422874 0.44932953 12.39479
## 4019 0.45414612 0.44924618 12.56363
## 4029 0.45373936 0.44883576 13.39493
## 4046 0.45340721 0.44850063 14.07375
## 4050 0.45308543 0.44817596 14.73137
## 4021 0.45185766 0.44693717 17.24057
## 4047 0.45184689 0.44692630 17.26259
## 4051 0.45161687 0.44669422 17.73267
## 4034 0.45150075 0.44657706 17.96999
## 4030 0.45147801 0.44655412 18.01645
## 4035 0.45075860 0.44582825 19.48672
## 4022 0.45041554 0.44548211 20.18784
## 4024 0.45024561 0.44531065 20.53512
## 4031 0.44994904 0.44501142 21.14123
## 4048 0.44965674 0.44471650 21.73859
## 4063 0.44952421 0.44458277 22.00946
## 4067 0.44937647 0.44443371 22.31139
## 4036 0.44913993 0.44419504 22.79481
## 4025 0.44890698 0.44396001 23.27088
## 4068 0.44826013 0.44330734 24.59286
## 4049 0.44817913 0.44322562 24.75840
## 4064 0.44794231 0.44298668 25.24238
## 4026 0.44608156 0.44110922 29.04521
## 4065 0.44573228 0.44075681 29.75902
## 4070 0.44503386 0.44005212 31.18640
## 4066 0.44374509 0.43875178 33.82025
## 4040 0.44366167 0.43866761 33.99075
## 4044 0.44356809 0.43857319 34.18198
## 4043 0.44342137 0.43842515 34.48185
## 4039 0.44288291 0.43788186 35.58230
## 4052 0.44276914 0.43776707 35.81482
## 4041 0.44071963 0.43569916 40.00340
## 4073 0.44062935 0.43560807 40.18791
## 4077 0.44028623 0.43526187 40.88913
## 4074 0.43933252 0.43429960 42.83824
## 4078 0.43898434 0.43394829 43.54982
## 4069 0.43851365 0.43347338 44.51176
## 4042 0.43814324 0.43309964 45.26879
## 4075 0.43757063 0.43252189 46.43903
## 4080 0.43715889 0.43210646 47.28050
## 4076 0.43618269 0.43112149 49.27556
## 4082 0.43372441 0.42864115 54.29955
## 4054 0.43031130 0.42519740 61.27495
## 4079 0.42988855 0.42477085 62.13893
## 4058 0.42913627 0.42401182 63.67635
## 4061 0.42789535 0.42275976 66.21242
## 4055 0.42778427 0.42264768 66.43945
## 4059 0.42745010 0.42231051 67.12239
## 4057 0.42510031 0.41993963 71.92466
## 4071 0.42320028 0.41802254 75.80777
## 4060 0.42037921 0.41517615 81.57320
## 4017 0.41999891 0.41479244 82.35041
## 4027 0.41901197 0.41379664 84.36742
## 4056 0.41810204 0.41287854 86.22705
## 4018 0.41653326 0.41129567 89.43319
## 4032 0.41633347 0.41109410 89.84148
## 4045 0.41565928 0.41041385 91.21934
## 4081 0.41485050 0.40959781 92.87225
## 4020 0.41321771 0.40795037 96.20918
## 4062 0.40792774 0.40261291 107.02031
## 4023 0.40714538 0.40182353 108.61921
## 4038 0.40244946 0.39708545 118.21630
## 4053 0.39353563 0.38809160 136.43352
## 4072 0.38768319 0.38218663 148.39418
## 4084 0.45570377 0.45032438 11.38027
## 4088 0.45535816 0.44997535 12.08659
## 4089 0.45473733 0.44934839 13.35537
## 4085 0.45433917 0.44894629 14.16910
## 4091 0.45357378 0.44817334 15.73333
## 4086 0.45210998 0.44669507 18.72491
## 4087 0.45047094 0.44503984 22.07461
## 4093 0.44983000 0.44439256 23.38450
## 4090 0.44492252 0.43943658 33.41393
## 4094 0.44105683 0.43553268 41.31427
## 4092 0.43064003 0.42501293 62.60312
## 4083 0.42010572 0.41437451 84.13213
## 4095 0.45588983 0.45001814 13.00000ols_step_best_subset(linFit) # The best subset regression for each p: still exponential with p ## Best Subsets Regression
## --------------------------------------------------------------------------------------------------------
## Model Index Predictors
## --------------------------------------------------------------------------------------------------------
## 1 rel
## 2 ps_arm rel
## 3 imp_rlg ps_arm rel
## 4 imp_rlg ps_arm el_fair rel
## 5 imp_rlg dut_ill ps_arm el_fair rel
## 6 imp_rlg dut_ill ps_arm el_fair trs_ntn rel
## 7 imp_rlg dut_ill ps_arm el_fair trs_ntn ps_lead rel
## 8 imp_rlg dut_ill ps_arm el_fair job_men trs_ntn ps_lead rel
## 9 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead men_lead rel
## 10 imp_rlg dut_ill ps_arm dut_chl el_fair job_men trs_ntn ps_lead men_lead rel
## 11 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead rel
## 12 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
## --------------------------------------------------------------------------------------------------------
##
## Subsets Regression Summary
## ---------------------------------------------------------------------------------------------------------------------------------------
## Adj. Pred
## Model R-Square R-Square R-Square C(p) AIC SBIC SBC MSEP FPE HSP APC
## ---------------------------------------------------------------------------------------------------------------------------------------
## 1 0.3060 0.3054 0.3035 297.3400 -2250.0421 -5443.5666 -2234.9655 8.8824 0.0079 0.0000 0.6965
## 2 0.3753 0.3741 0.3717 157.8031 -2366.3109 -5559.6642 -2346.2087 8.0031 0.0071 0.0000 0.6281
## 3 0.4014 0.3998 0.397 106.3970 -2412.3799 -5605.6479 -2387.2522 7.6752 0.0068 0.0000 0.6029
## 4 0.4210 0.4190 0.4155 68.2260 -2447.9400 -5641.0487 -2417.7868 7.4298 0.0066 0.0000 0.5841
## 5 0.4349 0.4324 0.4284 41.8893 -2473.2102 -5666.1338 -2438.0314 7.2584 0.0065 0.0000 0.5712
## 6 0.4415 0.4385 0.434 30.3778 -2484.4495 -5677.2625 -2444.2452 7.1799 0.0064 0.0000 0.5655
## 7 0.4465 0.4430 0.4379 22.2382 -2492.4883 -5685.1882 -2447.2584 7.1225 0.0064 0.0000 0.5615
## 8 0.4508 0.4469 0.4413 15.4272 -2499.2850 -5691.8555 -2449.0296 7.0734 0.0063 0.0000 0.5581
## 9 0.4538 0.4494 0.4432 11.3380 -2503.4048 -5695.8614 -2448.1239 7.0413 0.0063 0.0000 0.5560
## 10 0.4548 0.4499 0.4433 11.1444 -2503.6175 -5696.0151 -2443.3111 7.0338 0.0063 0.0000 0.5559
## 11 0.4557 0.4503 0.4429 11.3803 -2503.4003 -5695.7400 -2438.0683 7.0290 0.0063 0.0000 0.5560
## 12 0.4559 0.4500 0.4419 13.0000 -2501.7850 -5694.0930 -2431.4274 7.0329 0.0063 0.0000 0.5568
## ---------------------------------------------------------------------------------------------------------------------------------------
## AIC: Akaike Information Criteria
## SBIC: Sawa's Bayesian Information Criteria
## SBC: Schwarz Bayesian Criteria
## MSEP: Estimated error of prediction, assuming multivariate normality
## FPE: Final Prediction Error
## HSP: Hocking's Sp
## APC: Amemiya Prediction Criteria#we re trying every subset of features to get the best model! so here a reasonable approach would be to use the variables : imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn men_lead rel it explains 0.50.
linFit <- lm(HDI ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair + trs_ntn + men_lead + rel, data=training)
summary(linFit)##
## Call:
## lm(formula = HDI ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair +
## trs_ntn + men_lead + rel, data = training)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.259480 -0.041404 0.007111 0.053915 0.207031
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.637592 0.014735 43.271 < 2e-16 ***
## imp_rlg 0.014800 0.002576 5.745 1.19e-08 ***
## dut_ill 0.009100 0.002424 3.754 0.000183 ***
## ps_arm 0.023288 0.002596 8.970 < 2e-16 ***
## dut_chl 0.005530 0.002167 2.551 0.010859 *
## el_fair -0.014491 0.002472 -5.862 6.03e-09 ***
## trs_ntn -0.010572 0.002951 -3.582 0.000355 ***
## men_lead 0.007473 0.002711 2.756 0.005944 **
## rel 0.010576 0.001137 9.303 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.07938 on 1116 degrees of freedom
## Multiple R-squared: 0.4495, Adjusted R-squared: 0.4456
## F-statistic: 113.9 on 8 and 1116 DF, p-value: < 2.2e-16Adjusted R-squared is equal to 0.486 which is the best one so far
predictions <- predict(linFit, newdata=testing)
cor(testing$HDI, predictions)^2## [1] 0.4511275RMSE <- sqrt(mean((predictions - testing$HDI)^2))
RMSE #ROOT MEAN SQUARED## [1] 0.08222732Using testing data we can see that the squared correlation is equal to 0.484 while the RMSE is equal to 0.0754.
Defining control
ctrl <- trainControl(method = "repeatedcv",
number = 5, repeats = 1)all models from OLS step are:
1 rel
2 dut_chl rel
3 imp_rlg dut_chl rel
4 imp_rlg dut_chl trs_ntn rel
5 imp_rlg ps_arm dut_chl trs_ntn rel
6 imp_rlg ps_arm dut_chl el_fair trs_ntn rel
7 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn rel
8 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn men_lead rel
9 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn men_lead el_brb rel
10 imp_rlg dut_ill ps_arm dut_chl el_fair trs_ntn ps_lead men_lead el_brb rel
11 imp_rlg dut_ill ps_arm dut_chl el_fair el_thr trs_ntn ps_lead men_lead el_brb rel
12 imp_rlg dut_ill ps_arm dut_chl el_fair job_men el_thr trs_ntn ps_lead men_lead el_brb rel
Defining 12 models to see which one would perform best:
model1 <- HDI ~ rel
model2 <- HDI ~ dut_chl + rel
model3 <- HDI ~ imp_rlg + dut_chl + rel
model4 <- HDI ~ imp_rlg + dut_chl + trs_ntn + rel
model5 <- HDI ~ imp_rlg + ps_arm + dut_chl + trs_ntn + rel
model6 <- HDI ~ imp_rlg + ps_arm + dut_chl + el_fair + trs_ntn + rel
model7 <- HDI ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair + trs_ntn + rel
model8 <- HDI ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair + trs_ntn + men_lead + rel
model9 <- HDI ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair + trs_ntn + men_lead + el_brb + rel
model10 <- HDI ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair + trs_ntn + ps_lead + men_lead + el_brb + rel
model11 <- HDI ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair + el_thr + trs_ntn + ps_lead + men_lead + el_brb + rel
model12 <- HDI ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair + job_men + el_thr + trs_ntn + ps_lead + men_lead + el_brb + relDefining 12 categorical models to see which one would perform best:
model1_c <- cat ~ rel
model2_c <- cat ~ dut_chl + rel
model3_c <- cat ~ imp_rlg + dut_chl + rel
model4_c <- cat ~ imp_rlg + dut_chl + trs_ntn + rel
model5_c <- cat ~ imp_rlg + ps_arm + dut_chl + trs_ntn + rel
model6_c <- cat ~ imp_rlg + ps_arm + dut_chl + el_fair + trs_ntn + rel
model7_c <- cat ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair + trs_ntn + rel
model8_c <- cat ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair + trs_ntn + men_lead + rel
model9_c <- cat ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair + trs_ntn + men_lead + el_brb + rel
model10_c <- cat ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair + trs_ntn + ps_lead + men_lead + el_brb + rel
model11_c <- cat ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair + el_thr + trs_ntn + ps_lead + men_lead + el_brb + rel
model12_c <- cat ~ imp_rlg + dut_ill + ps_arm + dut_chl + el_fair + job_men + el_thr + trs_ntn + ps_lead + men_lead + el_brb + relLet’s start with an attempt from a model from the lower end of variables used.
lm_tune <- train(model5, data = training,
method = "lm",
preProc=c('scale', 'center'),
trControl = ctrl)
lm_tune## Linear Regression
##
## 1125 samples
## 5 predictor
##
## Pre-processing: scaled (5), centered (5)
## Resampling: Cross-Validated (5 fold, repeated 1 times)
## Summary of sample sizes: 900, 900, 900, 900, 900
## Resampling results:
##
## RMSE Rsquared MAE
## 0.08138466 0.4176105 0.06283572
##
## Tuning parameter 'intercept' was held constant at a value of TRUEpredicting the model
test_results$lm <- predict(lm_tune, testing)
postResample(pred = test_results$lm, obs = test_results$HDI)## RMSE Rsquared MAE
## 0.08682248 0.38777887 0.06658048Trying 12 models LM
I will basically perform what is done by the olsrr package but doing this ensure the results are corrected and also defining the 12 models will be used again later on.
library(caret)
# Create a function to iterate through models and evaluate performance
evaluate_models <- function(models, training_data, testing_data) {
results <- data.frame(Model = character(), RMSE = numeric(), R_squared = numeric(), stringsAsFactors = FALSE)
for (i in 1:length(models)) {
model_name <- paste0("model", i)
model_formula <- as.formula(models[[i]])
# Train the model
lm_tune <- train(model_formula, data = training_data,
method = "lm",
preProc = c('scale', 'center'),
trControl = trainControl(method = "none"))
# Make predictions on testing data
test_results <- testing_data
test_results[[model_name]] <- predict(lm_tune, newdata = testing_data)
# Calculate RMSE and R-squared
rmse <- sqrt(mean((test_results$HDI - test_results[[model_name]])^2))
rsquared <- cor(test_results$HDI, test_results[[model_name]])^2
# Store results in a data frame
results[i, ] <- list(model_name, rmse, rsquared)
}
return(results)
}
# Usage of the function with your data
results <- evaluate_models(list(model1, model2, model3, model4, model5, model6, model7, model8, model9, model10, model11, model12), training, testing)
# Print the results
print(results)## Model RMSE R_squared
## 1 model1 0.09255604 0.3048634
## 2 model2 0.09050949 0.3353899
## 3 model3 0.08755223 0.3781106
## 4 model4 0.08693434 0.3868008
## 5 model5 0.08682248 0.3877789
## 6 model6 0.08414899 0.4247354
## 7 model7 0.08265284 0.4450645
## 8 model8 0.08222732 0.4511275
## 9 model9 0.08222460 0.4511433
## 10 model10 0.08239192 0.4487985
## 11 model11 0.08211740 0.4525267
## 12 model12 0.08191701 0.4553961It seems that the best in my test the model which perform best is the model 12 with 12 variables. It achieves a RMSE of 0.08144404 and a R-squared 0.4622049
So this means that error is very low, but the only about 46.22% of the variance in the dependent variable is explained by my model. WHY?
I narrowed it down to 3 reasons:
- Complexity of the Data: The dataset is probably noisy or complex being a questionnaire
- The model may be overfitting
- While doing the Random Forest for feature selection we missed some Important Features.
Unfortunately this will be repated in the conclusion because this won’t change for the model.
Trying 12 models with the categorical target in logistic
library(caret)
library(pROC)## Type 'citation("pROC")' for a citation.##
## Attaching package: 'pROC'## The following object is masked from 'package:colorspace':
##
## coords## The following objects are masked from 'package:stats':
##
## cov, smooth, var# Create a function to iterate through models and evaluate performance
evaluate_models_classification <- function(models, training_data, testing_data) {
results <- data.frame(Model = character(), Accuracy = numeric(), AUC = numeric(), stringsAsFactors = FALSE)
for (i in 1:length(models)) {
model_name <- paste0("model", i)
model_formula <- as.formula(models[[i]])
# Train the model - using logistic regression (glm) for classification
glm_tune <- train(
model_formula,
data = training_data,
method = "glm",
family = "binomial",
trControl = trainControl(method = "none")
)
# Make predictions on testing data
test_results <- testing_data
test_results[[model_name]] <- predict(glm_tune, newdata = testing_data, type = "raw")
#test_results[[model_name]] <- factor(test_results[[model_name]], levels = c("low", "high"))
# Calculate accuracy and AUC for classification
accuracy <- confusionMatrix(test_results[[model_name]], testing_data$cat)$overall['Accuracy']
auc <- roc(test_results[[model_name]], as.numeric(testing_data$cat))$auc
# Store results in a data frame
results[i, ] <- list(model_name, accuracy, auc)
}
return(results)
}
# Usage of the function with your data for classification
results_classification <- evaluate_models_classification(list(model1_c, model2_c, model3_c, model4_c, model5_c, model6_c, model7_c, model8_c, model9_c, model10_c, model11_c, model12_c), training_cat, testing_cat)## Setting levels: control = low, case = high## Setting direction: controls < cases## Setting levels: control = low, case = high## Setting direction: controls < cases## Setting levels: control = low, case = high## Setting direction: controls < cases## Setting levels: control = low, case = high## Setting direction: controls < cases## Setting levels: control = low, case = high## Setting direction: controls < cases## Setting levels: control = low, case = high## Setting direction: controls < cases## Setting levels: control = low, case = high## Setting direction: controls < cases## Setting levels: control = low, case = high## Setting direction: controls < cases## Setting levels: control = low, case = high## Setting direction: controls < cases## Setting levels: control = low, case = high## Setting direction: controls < cases## Setting levels: control = low, case = high## Setting direction: controls < cases## Setting levels: control = low, case = high## Setting direction: controls < cases# Print the results
print(results_classification)## Model Accuracy AUC
## 1 model1 0.7013333 0.6928921
## 2 model2 0.7040000 0.6957547
## 3 model3 0.7280000 0.7209427
## 4 model4 0.7466667 0.7395803
## 5 model5 0.7333333 0.7255133
## 6 model6 0.7840000 0.7777859
## 7 model7 0.7946667 0.7887830
## 8 model8 0.7973333 0.7918928
## 9 model9 0.7973333 0.7918928
## 10 model10 0.7706667 0.7640889
## 11 model11 0.7680000 0.7613937
## 12 model12 0.7653333 0.7585797For the categorical part we can see that in my opinion the best model is model10 because ti has an accuracy of 0.7440000 and a AUC of 0.7382353. So I’m, choosing this mostly based on the AUC as it represents the model’s ability to distinguish between positive and negative classes and having already worked with binary variables it’s very common to have a super great accuracy because the minority class is being treated mostly as a the majority class.
For this model I reckon this are very good metrics.
Linear Regression
lm_tune <- train(model12, data = training,
method = "lm",
preProc=c('scale', 'center'),
trControl = ctrl)
lm_tune## Linear Regression
##
## 1125 samples
## 12 predictor
##
## Pre-processing: scaled (12), centered (12)
## Resampling: Cross-Validated (5 fold, repeated 1 times)
## Summary of sample sizes: 900, 900, 900, 900, 900
## Resampling results:
##
## RMSE Rsquared MAE
## 0.07940315 0.4456581 0.06125305
##
## Tuning parameter 'intercept' was held constant at a value of TRUEpr.simple = predict(lm_tune, newdata=testing)
cor(testing$HDI, pr.simple)^2## [1] 0.4553961qplot(test_results$lm, test_results$HDI) +
labs(title="Linear Regression Observed VS Predicted", x="Predicted", y="Observed") +
lims(x = c(0.50, 1), y = c(0.50, 1)) +
geom_abline(intercept = 0, slope = 1, colour = "blue") +
theme_bw()## Warning: `qplot()` was deprecated in ggplot2 3.4.0.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
Logistic Regression
glm_tune <- train(
model10_c,
data = training_cat,
method = "glm",
family = "binomial",
trControl = trainControl(method = "none")
)
glm_tune## Generalized Linear Model
##
## 1125 samples
## 10 predictor
## 2 classes: 'low', 'high'
##
## No pre-processing
## Resampling: Nonepr.simple <-predict(glm_tune, newdata = testing_cat, type = "raw")
accuracy <- confusionMatrix(pr.simple, testing_cat$cat)$overall['Accuracy']
auc <- roc(pr.simple, as.numeric(testing_cat$cat))$auc## Setting levels: control = low, case = high## Setting direction: controls < casescorrelation_squared <- cor(as.numeric(testing_cat$cat), as.numeric(pr.simple))^2print(accuracy)## Accuracy
## 0.7706667print(auc)## Area under the curve: 0.7641print("correalation squared")## [1] "correalation squared"print(correlation_squared)## [1] 0.2779102We can see how using the logistic regression we get some nice results
as the accuracy is 0.73 and AUC is 0.72.
The correlation squared is only 0.19
So we can say that:
The model seems to have moderate predictive performance.
It shows some capability to distinguish between classes, as indicated by the AUC.
The squared correlation suggests some alignment between predicted probabilities and actual classes but not extremely strong correlation.
Overfitted
alm_tune <- train(model12, data = training,
method = "lm",
preProc=c('scale', 'center'),
trControl = ctrl)test_results$alm <- predict(alm_tune, testing)
postResample(pred = test_results$alm, obs = test_results$HDI)## RMSE Rsquared MAE
## 0.08191701 0.45539612 0.06160363RMSE 0.081 R^2 0.46
qplot(test_results$alm, test_results$HDI) +
labs(title="Linear Regression Observed VS Predicted", x="Predicted", y="Observed") +
lims(x = c(0.5, 1), y = c(0.5, 1)) +
geom_abline(intercept = 0, slope = 1, colour = "blue") +
theme_bw()
RMSE of 0.081 is encouraging but the Rsquared seems to keep being low. From the graph we can see that about half or 3/4 of the points are in the slope or in the immediate premises
Forward Regression
for_tune <- train(model12, data = training,
method = "leapForward",
preProc=c('scale', 'center'),
tuneGrid = expand.grid(nvmax = 4:12),
trControl = ctrl)
for_tune## Linear Regression with Forward Selection
##
## 1125 samples
## 12 predictor
##
## Pre-processing: scaled (12), centered (12)
## Resampling: Cross-Validated (5 fold, repeated 1 times)
## Summary of sample sizes: 900, 900, 900, 900, 900
## Resampling results across tuning parameters:
##
## nvmax RMSE Rsquared MAE
## 4 0.08132107 0.4219667 0.06283786
## 5 0.08036000 0.4363985 0.06221123
## 6 0.08024665 0.4386498 0.06172413
## 7 0.08004286 0.4421664 0.06161559
## 8 0.07969769 0.4478610 0.06125293
## 9 0.07964702 0.4488650 0.06137845
## 10 0.07960275 0.4498180 0.06134198
## 11 0.07939974 0.4523963 0.06117980
## 12 0.07940354 0.4522870 0.06116103
##
## RMSE was used to select the optimal model using the smallest value.
## The final value used for the model was nvmax = 11.plot(for_tune)
We can see from the graph and from the values that for RMSE the best results are shown when using a high numbers of predictors, esepcially around 11 or 12.
coef(for_tune$finalModel, for_tune$bestTune$nvmax)## (Intercept) imp_rlg dut_ill ps_arm dut_chl el_fair
## 0.783670222 0.015118175 0.009859288 0.019586005 0.006071118 -0.013180377
## job_men el_thr trs_ntn ps_lead men_lead rel
## 0.004784702 0.003379884 -0.008428836 0.007450509 0.005177334 0.026689618test_results$frw <- predict(for_tune, testing)
postResample(pred = test_results$frw, obs = test_results$HDI)## RMSE Rsquared MAE
## 0.08186455 0.45612020 0.06151297RMSE 0.081 Rsquared 0.46
qplot(test_results$frw, test_results$HDI) +
labs(title="Forward Regression Observed VS Predicted", x="Predicted", y="Observed") +
lims(x = c(0.5, 1), y = c(0.5, 1)) +
geom_abline(intercept = 0, slope = 1, colour = "blue") +
theme_bw()
We can see that also this plot resembles a lot the other plot so a lot of points in the slope area, but some still way outside.
Backward
back_tune <- train(model12, data = training,
method = "leapBackward",
preProc=c('scale', 'center'),
tuneGrid = expand.grid(nvmax = 4:12),
trControl = ctrl)
back_tune## Linear Regression with Backwards Selection
##
## 1125 samples
## 12 predictor
##
## Pre-processing: scaled (12), centered (12)
## Resampling: Cross-Validated (5 fold, repeated 1 times)
## Summary of sample sizes: 900, 900, 900, 900, 900
## Resampling results across tuning parameters:
##
## nvmax RMSE Rsquared MAE
## 4 0.08169983 0.4157196 0.06305385
## 5 0.08042768 0.4336901 0.06223977
## 6 0.08049531 0.4324574 0.06204983
## 7 0.08042639 0.4333720 0.06208811
## 8 0.08004892 0.4388785 0.06166004
## 9 0.07984105 0.4419107 0.06143507
## 10 0.07977917 0.4432478 0.06146127
## 11 0.07953340 0.4466468 0.06128155
## 12 0.07949764 0.4471015 0.06125481
##
## RMSE was used to select the optimal model using the smallest value.
## The final value used for the model was nvmax = 12.plot(back_tune)
Again just like in the Forward regression it semes like the best numbebrs of predictors is still in the range of 10 to through 12
coef(back_tune$finalModel, back_tune$bestTune$nvmax)## (Intercept) imp_rlg dut_ill ps_arm dut_chl el_fair
## 0.783670222 0.015021467 0.009775120 0.019538685 0.006097546 -0.012711288
## job_men el_thr trs_ntn ps_lead men_lead el_brb
## 0.004844864 0.002817670 -0.008399914 0.007390942 0.005165830 0.001705310
## rel
## 0.026723311test_results$bw <- predict(back_tune, testing)
postResample(pred = test_results$bw, obs = test_results$HDI)## RMSE Rsquared MAE
## 0.08191701 0.45539612 0.06160363qplot(test_results$bw, test_results$HDI) +
labs(title="Backward Regression Observed VS Predicted", x="Predicted", y="Observed") +
lims(x = c(0.5, 1), y = c(0.5, 1)) +
geom_abline(intercept = 0, slope = 1, colour = "blue") +
theme_bw()
Stepwise
step_tune <- train(model12, data = training,
method = "leapSeq",
preProc=c('scale', 'center'),
tuneGrid = expand.grid(nvmax = 4:12),
trControl = ctrl)
plot(step_tune)
We can see that here is no different, 12 seems to still be the best number to minimize RMSE.
# which variables are selected?
coef(step_tune$finalModel, step_tune$bestTune$nvmax)## (Intercept) imp_rlg dut_ill ps_arm dut_chl el_fair
## 0.783670222 0.015021467 0.009775120 0.019538685 0.006097546 -0.012711288
## job_men el_thr trs_ntn ps_lead men_lead el_brb
## 0.004844864 0.002817670 -0.008399914 0.007390942 0.005165830 0.001705310
## rel
## 0.026723311test_results$seq <- predict(step_tune, testing)
postResample(pred = test_results$seq, obs = test_results$HDI)## RMSE Rsquared MAE
## 0.08191701 0.45539612 0.06160363RMSE 0.080 Rsquared 0.46
Machine Learning models
So in this section we will test a bit some basic alghoritms of machine learning. Here we will test both for continuos and categorical data the KNN,Random Forest and Gradient boosted.
KNN
KNN continuous data
modelLookup('kknn')## model parameter label forReg forClass probModel
## 1 kknn kmax Max. #Neighbors TRUE TRUE TRUE
## 2 kknn distance Distance TRUE TRUE TRUE
## 3 kknn kernel Kernel TRUE TRUE TRUEknn_tune <- train(model12,
data = training,
method = "kknn",
preProc=c('scale','center'),
tuneGrid = data.frame(kmax=c(11,13,15,19,21),distance=2,kernel='optimal'),
trControl = ctrl)
plot(knn_tune)
test_results$knn <- predict(knn_tune, testing)
postResample(pred = test_results$knn, obs = test_results$HDI)## RMSE Rsquared MAE
## 0.08176358 0.46838972 0.06026141RMSE 0.07773597 R-Squared 0.50091220. We can see that for the first time in this homework we achieve R-sqaured values of 0.5.
The combination of a low RMSE, a moderate Rsquared, and a low MAE suggests that the KNN model with kmax set to 21 is performing reasonably well. It’s providing reasonably accurate predictions while explaining a portion of the variability in the data. However, the Rsquared of 0.5 indicates that there still is unexplained variability.
KNN categorical data
knn_tune <- train(model10_c,
data = training_cat,
method = "kknn",
preProc = c('scale', 'center'),
tuneGrid = data.frame(kmax = c(11, 13, 15, 19, 21), distance = 2, kernel = 'optimal'),
trControl = ctrl)
plot(knn_tune)
test_results_cat$knn <- predict(knn_tune, testing_cat)
postResample(pred = test_results_cat$knn, obs = test_results_cat$cat)## Accuracy Kappa
## 0.760000 0.497723Interestingly we can see that here the #max neighbors is around 19 but after that 20 and 21 seems to be decreasing.
Here we can see an accuracy of 0.77 so quite high accuracy, while the kappa of 0.513 indicates a reasonable agreement between predicted and actual values beyond chance.
(If in doubt why specifically model10_c is because i tried what is going to come before doing this)
Random Forest
Just like in the regression I am going to try all 12 models both for classification and regression
Trying 12 models RF
library(caret)
evaluate_models_rf <- function(models, training_data, testing_data) {
results <- data.frame(Model = character(), RMSE = numeric(), R_squared = numeric(), stringsAsFactors = FALSE)
for (i in 1:length(models)) {
model_name <- paste0("model", i)
model_formula <- as.formula(models[[i]])
rf_tune <- train(model_formula,
data = training_data,
method = "rf",
preProc = c('scale', 'center'),
trControl = trainControl(method = "none"),
ntree = 100,
importance = TRUE)
# Make predictions on testing data
test_results <- testing_data
test_results[[model_name]] <- predict(rf_tune, newdata = testing_data)
# Calculate RMSE and R-squared
rmse <- sqrt(mean((test_results$HDI - test_results[[model_name]])^2))
rsquared <- cor(test_results$HDI, test_results[[model_name]])^2
# Store results in a data frame
results[i, ] <- list(model_name, rmse, rsquared)
}
return(results)
}
# Usage of the function with your data
results_rf <- evaluate_models_rf(list(model1, model2, model3, model4, model5, model6, model7, model8, model9, model10, model11, model12), training, testing)
# Print the results
print(results_rf)## Model RMSE R_squared
## 1 model1 0.09301310 0.2972524
## 2 model2 0.09065894 0.3340129
## 3 model3 0.08707310 0.3921329
## 4 model4 0.08784526 0.3821805
## 5 model5 0.08700409 0.3932202
## 6 model6 0.08531879 0.4103383
## 7 model7 0.08373136 0.4309297
## 8 model8 0.08131743 0.4630770
## 9 model9 0.08016730 0.4779961
## 10 model10 0.07918707 0.4914035
## 11 model11 0.07954578 0.4871493
## 12 model12 0.07919023 0.4913210And just like in the linear that the best values for RMSE and Rsquared are achieved by the model with more variables: especially by model11 and model12, the latter of the two does achieve for the first time a Rsquared of 0.51.
RF 12 models categorical
library(caret)
evaluate_models_rf_classification <- function(models, training_data, testing_data) {
results <- data.frame(Model = character(), Accuracy = numeric(), AUC= numeric(), stringsAsFactors = FALSE)
for (i in 1:length(models)) {
model_name <- paste0("model", i)
model_formula <- as.formula(models[[i]])
rf_tune <- train(
model_formula,
data = training_data,
method = "rf",
trControl = trainControl(method = "none"),
ntree = 100,
importance = TRUE
)
# Make predictions on testing data
test_results <- testing_data
test_results[[model_name]] <- predict(rf_tune, newdata = testing_data)
# Calculate accuracy and AUC for classification
confusion <- confusionMatrix(test_results[[model_name]], testing_data$cat)
accuracy <- confusion$overall['Accuracy']
# Calculate accuracy and AUC for classification
accuracy <- confusionMatrix(test_results[[model_name]], testing_data$cat)$overall['Accuracy']
auc <- roc(test_results[[model_name]], as.numeric(testing_data$cat))$auc
# Store results in a data frame
results[i, ] <- list(model_name, accuracy, auc)
}
return(results)
}
# Usage of the function with your data for classification
results_rf_classification <- evaluate_models_rf_classification(
list(model1_c, model2_c, model3_c, model4_c, model5_c, model6_c, model7_c, model8_c, model9_c, model10_c, model11_c, model12_c),
training_cat,
testing_cat
)## Setting levels: control = low, case = high## Setting direction: controls < cases## Setting levels: control = low, case = high## Setting direction: controls < cases## Setting levels: control = low, case = high## Setting direction: controls < cases## Setting levels: control = low, case = high## Setting direction: controls < cases## Setting levels: control = low, case = high## Setting direction: controls < cases## Setting levels: control = low, case = high## Setting direction: controls < cases## Setting levels: control = low, case = high## Setting direction: controls < cases## Setting levels: control = low, case = high## Setting direction: controls < cases## Setting levels: control = low, case = high## Setting direction: controls < cases## Setting levels: control = low, case = high## Setting direction: controls < cases## Setting levels: control = low, case = high## Setting direction: controls < cases## Setting levels: control = low, case = high## Setting direction: controls < cases# Print the results
print(results_rf_classification)## Model Accuracy AUC
## 1 model1 0.7013333 0.6924693
## 2 model2 0.7120000 0.7038296
## 3 model3 0.7226667 0.7155242
## 4 model4 0.7013333 0.6928921
## 5 model5 0.6933333 0.6841106
## 6 model6 0.7226667 0.7147670
## 7 model7 0.7600000 0.7530705
## 8 model8 0.7546667 0.7475613
## 9 model9 0.7466667 0.7392962
## 10 model10 0.7626667 0.7568794
## 11 model11 0.7680000 0.7613485
## 12 model12 0.7626667 0.7559064Instead in the categorical part we can see that the best model are also the one with more variables the highest AUC are achieved by model10_c and model12_c at 0.76. Since we are already trying with 12 models in the continius data i decided to try the model with 10 variables for the classification with categorical data
RF continuos data
rf_tune <- train(model12,
data = training,
method = "rf",
preProc=c('scale','center'),
trControl = ctrl,
ntree = 100,
tuneGrid = data.frame(mtry=c(1,3,5,7)),
importance = TRUE)
plot(rf_tune)
test_results$rf <- predict(rf_tune, testing)
postResample(pred = test_results$rf, obs = test_results$HDI)## RMSE Rsquared MAE
## 0.07898315 0.49510089 0.06108232We can see that working with continuos data there is not much to do, we still achieve a RMSE at around 0.0.077 and Rsquared 0.506.
plot(varImp(rf_tune, scale = F), scales = list(y = list(cex = .95)))
Interestingly here we can see the feature importance plot and we can see what are the most important variables for the random forest. At first place by far we can see the variable i created, “rel” (proxy for religion). I am going to skip over to the second one, and for the third we can see the variable that stand for “Votes are counted fairly”. At third we have another variable about the importance of religion and 5th and th are again 2 variables having to do with elections: bribing and threaten.
Interesting….
RF categorical data
rf_tune <- train(model10_c,
data = training_cat,
method = "rf",
preProc=c('scale','center'),
trControl = ctrl,
ntree = 100,
tuneGrid = data.frame(mtry=c(1,3,5,7)),
importance = TRUE)
plot(rf_tune)
test_results_cat$rf <- predict(rf_tune, testing_cat)
postResample(pred = test_results_cat$rf, obs = test_results_cat$cat)## Accuracy Kappa
## 0.7520000 0.4956397As saw before the Accuracy is 0.77 and Kappa is 0.5305804.
plot(varImp(rf_tune, scale = F), scales = list(y = list(cex = .95)))
In the variable importance plot we can see a plot that mostly resembles what we saw before, but here we see that in third place we have ps_arm which stand for “Having the army rule the country”.
Xgboosted
XGB continuos data
xgb_tune <- train(model12,
data = training,
method = "xgbTree",
preProc=c('scale','center'),
objective="reg:squarederror",
trControl = ctrl,
tuneGrid = expand.grid(nrounds = c(500,1000), max_depth = c(5,6,7), eta = c(0.01, 0.1, 1),
gamma = c(1, 2, 3), colsample_bytree = c(1, 2),
min_child_weight = c(1), subsample = c(0.2,0.5,0.8)))## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:06:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:06:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:06:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:06:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:06:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:06:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:06:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:06:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:06:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:06:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:06:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:06:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:06:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:06:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:06:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:06:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:06:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:06:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:06:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:06:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:06:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:06:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:06:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:06:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:06:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:06:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:02] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:02] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:03] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:03] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:04] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:04] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:06] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:07] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:07] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:08] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:09] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:09] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:10] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:11] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:11] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:12] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:13] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:14] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:16] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:17] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:17] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:18] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:18] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:19] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:19] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:20] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:20] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:21] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:21] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:22] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:24] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:26] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:26] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:27] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:28] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:29] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:30] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:30] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:31] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:32] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:32] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:33] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:34] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:35] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:35] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:36] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:36] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:38] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:38] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:39] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:39] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:40] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:41] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:41] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:07:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:02] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:02] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:03] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:04] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:06] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:07] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:07] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:08] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:09] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:09] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:10] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:10] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:11] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:12] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:12] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:13] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:13] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:14] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:14] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:16] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:16] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:17] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:17] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:18] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:19] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:19] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:20] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:21] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:22] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:22] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:24] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:26] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:27] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:27] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:28] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:28] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:29] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:29] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:30] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:30] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:31] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:31] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:32] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:33] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:33] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:34] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:35] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:35] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:36] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:36] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:38] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:39] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:39] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:40] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:41] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:08:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:02] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:02] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:03] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:03] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:04] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:04] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:06] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:07] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:07] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:08] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:09] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:09] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:10] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:11] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:11] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:12] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:13] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:14] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:16] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:17] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:18] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:18] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:19] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:19] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:20] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:20] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:21] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:21] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:22] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:22] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:24] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:26] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:26] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:27] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:28] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:28] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:29] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:30] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:31] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:32] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:32] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:33] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:34] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:35] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:35] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:36] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:36] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:38] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:38] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:39] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:39] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:40] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:40] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:41] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:09:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:02] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:02] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:03] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:04] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:06] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:07] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:08] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:09] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:10] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:10] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:11] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:11] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:11] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:12] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:13] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:13] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:14] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:14] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:16] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:16] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:17] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:18] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:18] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:19] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:20] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:20] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:21] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:22] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:24] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:26] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:27] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:27] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:28] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:28] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:28] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:29] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:30] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:30] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:31] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:31] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:32] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:32] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:33] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:33] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:34] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:35] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:35] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:36] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:38] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:39] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:40] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:41] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:10:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in nominalTrainWorkflow(x = x, y = y, wts = weights, info = trainInfo,
## : There were missing values in resampled performance measures.## Warning in train.default(x, y, weights = w, ...): missing values found in
## aggregated results## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.test_results$xgb <- predict(xgb_tune, testing)
postResample(pred = test_results$xgb, obs = test_results$HDI)## RMSE Rsquared MAE
## 0.1005894 0.1826034 0.0769478RMSE 0.092 Rsquared 0.29
We can see that Xgboosted offers basically the worst performance of the models tried so far.
XGB categorical data
xgb_tune <- train(model10_c,
data = training_cat,
method = "xgbTree",
preProc=c('scale','center'),
objective="reg:squarederror",
trControl = ctrl,
tuneGrid = expand.grid(nrounds = c(500,1000), max_depth = c(5,6,7), eta = c(0.01, 0.1, 1),
gamma = c(1, 2, 3), colsample_bytree = c(1, 2),
min_child_weight = c(1), subsample = c(0.2,0.5,0.8)))## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:03] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:04] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:04] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:04] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:06] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:06] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:07] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:07] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:08] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:08] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:09] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:09] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:10] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:10] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:11] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:12] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:12] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:13] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:14] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:14] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:16] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:16] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:17] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:17] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:18] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:18] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:19] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:19] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:20] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:20] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:21] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:21] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:22] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:22] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:24] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:24] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:26] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:27] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:27] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:28] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:29] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:29] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:30] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:30] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:31] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:32] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:32] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:33] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:33] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:34] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:34] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:35] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:35] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:36] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:36] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:38] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:38] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:39] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:39] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:40] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:40] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:41] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold1.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:11:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:02] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:02] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:03] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:03] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:04] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:04] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:06] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:06] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:07] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:07] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:07] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:08] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:09] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:09] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:10] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:10] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:11] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:11] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:12] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:13] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:13] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:14] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:16] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:17] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:17] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:18] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:18] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:19] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:19] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:20] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:20] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:21] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:21] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:22] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:22] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:24] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:24] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:26] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:26] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:27] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:27] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:28] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:29] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:29] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:30] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:31] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:31] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:32] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:33] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:34] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold2.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:34] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:34] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:35] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:35] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:36] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:36] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:38] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:38] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:39] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:39] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:40] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:40] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:41] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:41] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:12:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:02] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:03] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:03] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:04] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:04] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:06] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:06] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:07] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:07] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:08] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:08] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:09] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:09] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:10] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:11] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:11] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:12] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:12] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:13] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:14] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:14] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:16] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:16] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:17] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:18] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:18] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold3.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:19] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:19] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:20] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:20] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:21] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:21] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:21] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:22] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:22] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:24] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:26] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:26] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:27] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:27] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:28] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:29] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:29] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:30] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:31] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:31] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:32] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:33] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:33] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:34] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:34] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:35] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:35] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:36] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:36] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:38] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:39] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:39] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:40] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:40] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:41] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:41] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:49] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:51] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:52] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:53] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:54] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:56] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:57] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:58] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:13:59] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:00] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:02] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:02] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:03] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold4.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:04] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:04] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:05] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:06] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:06] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:07] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:07] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:08] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:08] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:09] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:09] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:10] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:10] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:11] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:12] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:12] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:13] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:13] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:14] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:16] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:17] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:17] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:18] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.01, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:18] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:19] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:19] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:20] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:20] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:21] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:21] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:22] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:22] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:24] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:24] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:26] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:26] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:27] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:28] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:28] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:29] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:29] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:30] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:31] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:31] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:32] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:33] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=0.10, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:33] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:34] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:34] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:35] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:35] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:36] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:36] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:36] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=5, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:38] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:39] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:39] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:40] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:40] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:41] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:41] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=6, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:42] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=1, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:45] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=2, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:46] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:47] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## [18:14:48] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.2, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.5, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.## Warning: model fit failed for Fold5.Rep1: eta=1.00, max_depth=7, gamma=3, colsample_bytree=2, min_child_weight=1, subsample=0.8, nrounds=1000 Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
## value 2 for Parameter colsample_bytree exceed bound [0,1]
## colsample_bytree: Subsample ratio of columns, resample on each tree construction.## Warning in nominalTrainWorkflow(x = x, y = y, wts = weights, info = trainInfo,
## : There were missing values in resampled performance measures.## Warning in train.default(x, y, weights = w, ...): missing values found in
## aggregated results## Warning in check.booster.params(params, ...): The following parameters were provided multiple times:
## objective
## Only the last value for each of them will be used.test_results_cat$xgb <- predict(xgb_tune, testing_cat)
postResample(pred = test_results_cat$xgb, obs = test_results_cat$cat)## Accuracy Kappa
## 0.7733333 0.5347870plot(xgb_tune)
Accuracy 0.7813333 Kappa 0.5455620
Well it seems that with categoricl data we get way better results as we get out best kappa so far
Ensemble for categorical data
apply(test_results[-1], 2, function(x) mean(abs(x - test_results$HDI)))## lm alm frw bw seq knn rf
## 0.06658048 0.06160363 0.06151297 0.06160363 0.06160363 0.06026141 0.06108232
## xgb
## 0.07694780test_results$comb = (test_results$alm + test_results$knn + test_results$rf)/3
postResample(pred = test_results$comb, obs = test_results$HDI)## RMSE Rsquared MAE
## 0.07927237 0.49512871 0.05940904We see that even using the ensemble with overfitted, knn and random forest we seem to still get results similar to the others models. a 0.076 RMSE and a 0.51 Rsquared.
Final Pred
yhat = test_results$comb
head(yhat)## [1] 0.8300256 0.7653756 0.6906279 0.8720857 0.7614863 0.8143135hist(yhat, col="lightblue")
as expected most of predictions are between 0.7 and 0.8. The rpoblem is that while we predict some values in the upper part, we don’t hardly predict anything under 0.65 and too much over 0.9.
Prediction intervals
y = test_results$HDI
error = y-yhat
hist(error, col="lightblue")
noise = error[1:100]lwr = yhat[101:length(yhat)] + quantile(noise,0.05, na.rm=T)
upr = yhat[101:length(yhat)] + quantile(noise,0.95, na.rm=T)predictions = data.frame(real=y[101:length(y)], fit=yhat[101:length(yhat)], lwr=lwr, upr=upr)
predictions = predictions %>% mutate(out=factor(if_else(real<lwr | real>upr,1,0)))
# how many real observations are out of the intervals?
mean(predictions$out==1)## [1] 0.2436364ggplot(predictions, aes(x=fit, y=real))+
geom_point(aes(color=out)) + theme(legend.position="none") +
xlim(0.5, 1) + ylim(0.5, 1)+
geom_ribbon(data=predictions,aes(ymin=lwr,ymax=upr),alpha=0.3) +
labs(title = "Prediction intervals", x = "prediction",y="real HDI")
We can see that as the rest of the work we are able to capture most of the data, but my prediction don’t capture the points under 0.65 and I predict too many over 0.875.
Conclusion
So when starting this project I definitely did not take in consideration some things.
Limitations:
So when using the full model I did not thought about the computational power needed to do some of the stuff required. For example just the imputation needed to run for nearly six hours. So i quickly realized that a sample was needed, first try was to use 150 records and 26 variables but the OLS_step was not able to finish even after 2 days of straight running on my pc. After that i tried with 150 records and 20 variables but the same happened. After other attempts I landed on 20 records per country and 15 variables from feature selection.
Considerations:
Continuos data:
I also thought I would get a lot better results, but the Rsquared has always ranged from 0.46 to less than 0.51 In the continuous data. At least the RMSE was fairly low averaging betwen 0.07 to 0.08
In the end in the ensemble I used the overfitted model, the KNN and the Random Forest and i obtained a Rsquared of 0.49 and RMSE of 0.08.
By the final graphs we can see that most of the predictions made but the model are between 0.7 and 0.8. So where the model is struggling is outside that range, especially under the 0.6 of HDI. If we look on the other half, so closer to the limit of 1 we can see that on the opposite the model is more predicting higher values that are non existing as for the real values are more common lower rather that higher values. This I don’t believe to be a bias based on the sample as we are taking 20 entries per country so all in all it should be balanced.
Categorical Data:
As for categorical data we can say similar things in the sense that the accuracy has ranged around 0.78 for all models.
At least we can say that an accuracy of nearly 0.8 is very good for using real world data.
Another view:
Getting back to what we saw in the variable importance of the random forest.
For the continuos data we saw that the most important variable in feature importance is rel, the one i coded. The second is dut_ill that in the codebook is coded as : “Duty towards society to have children”. The third one as mentioned is towards fairness of elections. The fourth one is imp_rlg that is “Important in life: Religion”. Fifth one is ps_arm that as said before is the question about “Having the army rule the country”. Fifth and sixth are again two variables regarding the elections: “Voters are bribed” and “Voters are threatened with violence at the polls”.
For categorical data we have the same 6 out of the first 7 variables in feature importance. The new one we see here is: men_lead that in is the questions about : “On the whole, men make better political leaders than women do”
So with this considerations what can we say?
We can say that the biggest predictors to classify a high or low HDI based on a questionnaire is if a society has strong tendencies (high or low) towards: religion, birth rate, strong influence of the army in the political sphere, fairness (in various degree) of the elections.
We can see that if for example we take a society: very religious, high birth rate, where the army highly influence the poiltics, with not fair elections we get (mostly) a third world country where it is expected to have a low HDI.